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Journal articles on the topic 'Jaccard's similarity measure'

Author: Grafiati

Published: 3 June 2025

Last updated: 19 July 2025

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1

Hwang, Chao-Ming, and Miin-Shen Yang. "New Similarity Measures Between Generalized Trapezoidal Fuzzy Numbers Using the Jaccard Index." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 22, no. 06 (2014): 831–44. http://dx.doi.org/10.1142/s0218488514500445.

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Similarity measures between generalized trapezoidal fuzzy numbers (GTFNs) are employed to indicate the degrees of similarity between GTFNs. Although several similarity measures of GTFNs have been proposed in the literature, none has considered using the Jaccard index. In general, the Jaccard index is a statistic used for comparing the similarity and diversity of sample sets. This paper presents a new similarity measure between GTFNs, which involves the Jaccard index. The proposed similarity measure is found to have better properties. Several examples are employed to compare the proposed measur

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Kim, Seongho, Ikuko Kato, and Xiang Zhang. "Comparative Analysis of Binary Similarity Measures for Compound Identification in MassSpectrometry-Based Metabolomics." Metabolites 12, no. 8 (2022): 694. http://dx.doi.org/10.3390/metabo12080694.

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Compound identification is a critical step in untargeted metabolomics. Its most important procedure is to calculate the similarity between experimental mass spectra and either predicted mass spectra or mass spectra in a mass spectral library. Unlike the continuous similarity measures, there is no study to assess the performance of binary similarity measures in compound identification, even though the well-known Jaccard similarity measure has been widely used without proper evaluation. The objective of this study is thus to evaluate the performance of binary similarity measures for compound ide

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Gonzalez-Huitron, Victor Alejandro, Abraham Efraim Rodriguez-mata, Leonel Ernesto Amabilis-Sosa, Rogelio Baray-Arana, Isidro Robledo-Vega, and Guillermo Valencia-Palomo. "Jaccard distance as similarity measure for disparity map estimation." IEEE Latin America Transactions 21, no. 5 (2023): 690–98. http://dx.doi.org/10.1109/tla.2023.10130841.

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Mahmood, Tahir, Ubaid Ur Rehman, Zeeshan Ali, and Ronnason Chinram. "Jaccard and Dice Similarity Measures Based on Novel Complex Dual Hesitant Fuzzy Sets and Their Applications." Mathematical Problems in Engineering 2020 (November 11, 2020): 1–25. http://dx.doi.org/10.1155/2020/5920432.

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Complex dual hesitant fuzzy set (CDHFS) is a combination of two modifications, called complex fuzzy set (CFS) and dual hesitant fuzzy set (DHFS). CDHFS makes two degrees, called membership valued and nonmembership valued in the form of a finite subset of a unit disc in the complex plane, and is a capable method to solve uncertain and unpredictable information in real-life problems. The goal of this study is to describe the notion of CDHFS and its operational laws. The novel approach of the complex interval-valued dual hesitant fuzzy set (CIvDHFS) and its fundamental laws are also described and

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Ivanets, O. "Water fleas of Lviv region (Crustacea: Cladocera) in hydrobiological research by B. Dybovsky and M. Grohovsky (based on the materials of the round table of the ecological commission of the Shevchenko Scientific Society)." Visnyk of Lviv University. Biological series, no. 89 (October 13, 2023): 37–48. http://dx.doi.org/10.30970/vlubs.2023.89.04.

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49 taxa of Cladocera were registered in the reservoirs of Lviv region according to the materials of B. Dybovskyi and M. Grohovskyi. From the point of view of faunal diversity, the studied locations can be divided into two groups. The first group of locations (registered 10 or more taxa each): Pelchynsky pond, Yanivsky pond, Big Golosko. The second group of locations (up to 5 taxa are registered): Kilinsky Park, Sobka pond, Small Golosko, Zboishcha, Snopkiv, Horodok, Zhydachiv. The largest number of Cladocera taxa was registered in the Janivsky pond (21 taxa). The smallest number (1 taxon) was

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Rakhmawati, Nur Aini, and Miftahul Jannah. "Food Ingredients Similarity Based on Conceptual and Textual Similarity." Halal Research Journal 1, no. 2 (2021): 87–95. http://dx.doi.org/10.12962/j22759970.v1i2.107.

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Open Food Facts provides a database of food products such as product names, compositions, and additives, where everyone can contribute to add the data or reuse the existing data. The open food facts data are dirty and needs to be processed before storing the data to our system. To reduce redundancy in food ingredients data, we measure the similarity of ingredient food using two similarities: the conceptual similarity and textual similarity. The conceptual similarity measures the similarity between the two datasets by its word meaning (synonym), while the textual similarity is based on fuzzy st

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Bocianowski, Jan, Janetta Niemann, Anna Jagieniak, and Justyna Szwarc. "Comparison of Six Measures of Genetic Similarity of Interspecific Brassicaceae Hybrids F2 Generation and Their Parental Forms Estimated on the Basis of ISSR Markers." Genes 15, no. 9 (2024): 1114. http://dx.doi.org/10.3390/genes15091114.

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Genetic similarity determines the extent to which two genotypes share common genetic material. It can be measured in various ways, such as by comparing DNA sequences, proteins, or other genetic markers. The significance of genetic similarity is multifaceted and encompasses various fields, including evolutionary biology, medicine, forensic science, animal and plant breeding, and anthropology. Genetic similarity is an important concept with wide application across different scientific disciplines. The research material included 21 rapeseed genotypes (ten interspecific Brassicaceae hybrids of F2

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Sakira Kamaruddin, Siti, Yuhanis Yusof, Nur Azzah Abu Bakar, Mohamed Ahmed Tayie, and Ghaith Abdulsattar A.Jabbar Alkubaisi. "Graph-based Representation for Sentence Similarity Measure : A Comparative Analysis." International Journal of Engineering & Technology 7, no. 2.14 (2018): 32. http://dx.doi.org/10.14419/ijet.v7i2.14.11149.

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Textual data are a rich source of knowledge; hence, sentence comparison has become one of the important tasks in text mining related works. Most previous work in text comparison are performed at document level, research suggest that comparing sentence level text is a non-trivial problem. One of the reason is two sentences can convey the same meaning with totally dissimilar words. This paper presents the results of a comparative analysis on three representation schemes i.e. term frequency inverse document frequency, Latent Semantic Analysis and Graph based representation using three similarity

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Li, Wen Qing, Jia Feng Sun, Wen Qin Lu, Yong Le Zhang, and Pu Zhao. "Semantic Similarity Measure Based on Concreteness Degree of a Concept." Advanced Materials Research 760-762 (September 2013): 852–56. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.852.

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Semantic similarity between concepts is widely used, but the measuring method is still a challenging task. We proposed a semantic similarity measuring method, using concreteness degree of a concept which is based on constructing process of ontology. Firstly, Concreteness degree of concept was defined for the concept by depth of the concept itself and its most specific descendant, then according to the Jaccards Coefficient the semantic similarity between concepts measured by the specified process of the two compared concepts and their co-specified process. Experiment result shows that the propo

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Qiyas, Muhammad, Muhammad Naeem, Saleem Abdullah, Neelam Khan, and Asad Ali. "Similarity Measures Based on q-Rung Linear Diophantine Fuzzy Sets and Their Application in Logistics and Supply Chain Management." Journal of Mathematics 2022 (January 20, 2022): 1–19. http://dx.doi.org/10.1155/2022/4912964.

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With the frequent occurrence of emergency events, decision-making (DM) plays an increasingly significant role in coping with them and has become an important and the challenging research focus recently. It is critical for decision makers to make accurate and reasonable emergency judgments in a short period as poor decisions can result in enormous economic losses and an unstable social order. As a consequence, this work offers a new DM approach based on novel distance and similarity measures using q-rung linear Diophantine fuzzy (q-RLDF) information to assure that DM problems may be addressed s

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Narayanaswamy, Rajath Arakere, and Vidyalakshmi Krishne Gowda. "Content based image retrieval using visual geometric group19 with Jaccard similarity measure." International Journal of Advances in Applied Sciences 14, no. 2 (2025): 430. https://doi.org/10.11591/ijaas.v14.i2.pp430-438.

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Content-based image retrieval (CBIR) is an important research area that focuses on emerging techniques for handling large image collections and enabling efficient retrieval. The main challenge of image retrieval is to extract relevant feature vectors for image description. Therefore, visual geometric group 19 (VGG19) with Jaccard is proposed in this research for CBIR. The VGG19 allows to capture of hierarchical features, and it is appropriate for texture and fine detail characteristics. It enables to production of robust and discriminative feature representations because of numerous convolutio

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Vorontsov, Ilya E., Ivan V. Kulakovskiy, and Vsevolod J. Makeev. "Jaccard index based similarity measure to compare transcription factor binding site models." Algorithms for Molecular Biology 8, no. 1 (2013): 23. http://dx.doi.org/10.1186/1748-7188-8-23.

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Tiwari, Sunita, and Saroj Kaushik. "EMD-Based Semantic User Similarity Using Past Travel Histories." Journal of Cases on Information Technology 24, no. 3 (2022): 1–17. http://dx.doi.org/10.4018/jcit.20220701.oa2.

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The cost-effective and easy availability of handheld mobile devices and ubiquity of location acquisition services such as GPS and GSM networks has helped expedient logging and sharing of location histories of mobile users. This work aims to find semantic user similarity using their past travel histories. Application of the semantic similarity measure can be found in tourism-related recommender systems and information retrieval. The paper presents Earth Mover’s Distance (EMD) based semantic user similarity measure using users' GPS logs. The similarity measure is applied and evaluated on the GPS

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Mohamad, Daud, Noorlisa Sara Adlene Ramlan, and Sharifah Aniza Sayed Ahmad. "An improvised similarity measure for generalized fuzzy numbers." Bulletin of Electrical Engineering and Informatics 8, no. 4 (2019): 1232–38. http://dx.doi.org/10.11591/eei.v8i4.1629.

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Similarity measure between two fuzzy sets is an important tool for comparing various characteristics of the fuzzy sets. It is a preferred approach as compared to distance methods as the defuzzification process in obtaining the distance between fuzzy sets will incur loss of information. Many similarity measures have been introduced but most of them are not capable to discriminate certain type of fuzzy numbers. In this paper, an improvised similarity measure for generalized fuzzy numbers that incorporate several essential features is proposed. The features under consideration are geometric mean

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Daud, Mohamad, Sara Adlene Ramlan Noorlisa, and Aniza Sayed Ahmad Sharifah. "An improvised similarity measure for generalized fuzzy numbers." Bulletin of Electrical Engineering and Informatics 8, no. 4 (2019): 1232–38. https://doi.org/10.11591/eei.v8i4.1629.

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Similarity measure between two fuzzy sets is an important tool for comparing various characteristics of the fuzzy sets. It is a preferred approach as compared to distance methods as the defuzzification process in obtaining the distance between fuzzy sets will incur loss of information. Many similarity measures have been introduced but most of them are not capable to discriminate certain type of fuzzy numbers. In this paper, an improvised similarity measure for generalized fuzzy numbers that incorporate several essential features is proposed. The features under consideration are geometric mean

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A., E. Z. Hasan, Bermawie N., Julistiono H., et al. "Genetic Diversity Analysis of Soursop (Annona muricata L.) in West Java Region of Indonesia Using RAPD Markers." Annual Research & Review in Biology 14, no. 6 (2017): 1–7. https://doi.org/10.9734/ARRB/2017/34354.

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<strong>Aims: </strong>The aim of this study was determine the genetic diversity of <em>Annona muricata</em> L. using molecular random amplified polymorphic DNA (RAPD) markers. Amplification of genomic DNA of 9 samples using RAPD analysis yielded 57 fragment, of which 30 were polymorphic, with an average of 6 polymorphic fragment per primer. <strong>Study Design: </strong>The data was analysed with SIMQUAL program of NTSYS-pc (Version 2.02), and similarities between accessions were estimated using the Jaccard’s coefficient calculated as J = A / (N - D), where A is the number of positive matche

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Salvatore, Stefania, Knut Dagestad Rand, Ivar Grytten, et al. "Beware the Jaccard: the choice of similarity measure is important and non-trivial in genomic colocalisation analysis." Briefings in Bioinformatics 21, no. 5 (2019): 1523–30. http://dx.doi.org/10.1093/bib/bbz083.

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Abstract The generation and systematic collection of genome-wide data is ever-increasing. This vast amount of data has enabled researchers to study relations between a variety of genomic and epigenomic features, including genetic variation, gene regulation and phenotypic traits. Such relations are typically investigated by comparatively assessing genomic co-occurrence. Technically, this corresponds to assessing the similarity of pairs of genome-wide binary vectors. A variety of similarity measures have been proposed for this problem in other fields like ecology. However, while several of these

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Guirao, Juan Luis García, M. Sarwar Sindhu, Tabasam Rashid, and Agha Kashif. "Multiple Criteria Decision-Making Based on Vector Similarity Measures under the Framework of Dual Hesitant Fuzzy Sets." Discrete Dynamics in Nature and Society 2020 (August 17, 2020): 1–11. http://dx.doi.org/10.1155/2020/1425487.

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Similarity measures have a great importance in the decision-making process. In order to identify the similarity between the options, many experts have established several types of similarity measures on the basis of vectors and distances. The Cosine, Dice, and Jaccard are the vector similarity measures. The present work enclosed the modified Jaccard and Dice similarity measures. Founded on the Dice and Jaccard similarity measures, we offered a multiple criteria decision-making (MCDM) model under the dual hesitant fuzzy sets (DHFSs) situation, in which the appraised values of the alternatives w

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Stefanovič, Pavel, Olga Kurasova, and Rokas Štrimaitis. "The N-Grams Based Text Similarity Detection Approach Using Self-Organizing Maps and Similarity Measures." Applied Sciences 9, no. 9 (2019): 1870. http://dx.doi.org/10.3390/app9091870.

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In the paper the word-level n-grams based approach is proposed to find similarity between texts. The approach is a combination of two separate and independent techniques: self-organizing map (SOM) and text similarity measures. SOM’s uniqueness is that the obtained results of data clustering, as well as dimensionality reduction, are presented in a visual form. The four measures have been evaluated: cosine, dice, extended Jaccard’s, and overlap. First of all, texts have to be converted to numerical expression. For that purpose, the text has been split into the word-level n-grams and after that,

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Bayer, Christian, and Robin Seidel. "Comparing distance measures on assessed medical device incident data using Average Silhouette Width." Current Directions in Biomedical Engineering 4, no. 1 (2018): 525–28. http://dx.doi.org/10.1515/cdbme-2018-0126.

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AbstractMany machine learning algorithms depend on the choice of an appropriate similarity or distance measure. Comparing such measures in different domains and on diversely structured data is common, but often performed in regards of an algorithm to cluster or classify the data. In this study, data assessed by experts is analyzed instead. The data is taken from the database of the Federal Institute for Drugs and Medical Devices (BfArM) and represents free text incident reports. The Average Silhouette Width, a cluster density measure, is used to compare the distance measures’ ability to discri

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Jain, Abhishek, Aman Jain, Nihal Chauhan, Vikrant Singh, and Narina Thakur. "Information Retrieval using Cosine and Jaccard Similarity Measures in Vector Space Model." International Journal of Computer Applications 164, no. 6 (2017): 28–30. http://dx.doi.org/10.5120/ijca2017913699.

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22

Hamers, Lieve, Yves Hemeryck, Guido Herweyers, et al. "Similarity measures in scientometric research: The Jaccard index versus Salton's cosine formula." Information Processing & Management 25, no. 3 (1989): 315–18. http://dx.doi.org/10.1016/0306-4573(89)90048-4.

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Zverev, Andrei, Natalia Shchegoleva, and Christina Levitskaya. "Hemeroby and homotoneity of plant communities: can we detect evident codependencies?" BIO Web of Conferences 31 (2021): 00035. http://dx.doi.org/10.1051/bioconf/20213100035.

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The results of codependency analysis of 9 qualitative and 4 quantitative measures of plant communities homotoneity with statuses of their naturalness based on the application of the indicator value scale of hemeroby tolerance of South Siberian plants are presented. The highest correlation with level of naturalness was performed by qualitative multiplace measure of similarity by Jaccard.

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Tangmanussukum, Piyanut, Thitipong Kawichai, Apichat Suratanee, and Kitiporn Plaimas. "Heterogeneous network propagation with forward similarity integration to enhance drug–target association prediction." PeerJ Computer Science 8 (October 11, 2022): e1124. http://dx.doi.org/10.7717/peerj-cs.1124.

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Identification of drug–target interaction (DTI) is a crucial step to reduce time and cost in the drug discovery and development process. Since various biological data are publicly available, DTIs have been identified computationally. To predict DTIs, most existing methods focus on a single similarity measure of drugs and target proteins, whereas some recent methods integrate a particular set of drug and target similarity measures by a single integration function. Therefore, many DTIs are still missing. In this study, we propose heterogeneous network propagation with the forward similarity inte

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Bădică, Amelia, Costin Bădică, Doina Logofătu, and Ionuţ-Dragoş Neremzoiu. "Generalizations and Properties of Normalized Similarity Measures for Boolean Models." Mathematics 13, no. 3 (2025): 384. https://doi.org/10.3390/math13030384.

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In this paper, we provide a closer look at some of the most popular normalized similarity/distance measures for Boolean models. This work includes the generalization of three classes of measures described as generalized Kulczynski, generalized Jaccard, and generalized Consonni and Todeschini measures, theoretical ordering of the similarity measures inside each class, as well as between classes, and positive and negative results regarding the metric properties of measures related to satisfying or not satisfying the triangle inequality axiom.

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Khan, Shahzeb, Deepankar Krishna, Samrailatpam Mukherjee, Rohit Kumar, and Mohd Tajammul. "Plagiarism Detection using Machine Learning Techniques and Cosine, Jaccard and Dice Similarity Measures." Computology: Journal of Applied Computer Science and Intelligent Technologies 4, no. 2 (2025): 61–88. https://doi.org/10.17492/computology.v4i2.2404.

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Kurniawan, Isma Dwi, Ida Kinasih, Tri Cahyanto, Hilda Ayu Emalia, and Nida Hidayaturrohmah. "Perbedaan Keanekaragaman dan Kelimpahan Araknida Antar Zonasi Gua di Kawasan Karst Tasikmalaya." Al-Kauniyah: Jurnal Biologi 15, no. 2 (2022): 220–30. http://dx.doi.org/10.15408/kauniyah.v15i2.18816.

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AbstrakAraknida merupakan kelompok fauna yang umum dijumpai di gua dan berperan penting menjaga keseimbangan ekosistem gua. Kelompok fauna ini dapat ditemukan di seluruh zona gua baik terang, remang, maupun gelap. Penelitian ini bertujuan untuk mengetahui perbedaan keanekaragaman dan kelimpahan araknida berdasarkan zonasi gua. Pengambilan data dilakukan di 3 gua yang terletak di kawasan Karst Tasikmalaya, yaitu Gua Sarongge, Liang Boeh, dan Liang Seungit. Pencuplikan araknida dilakukan dengan teknik hand collecting, sedangkan penghitungan individu dengan direct counting. Selain itu, dilakukan

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Kirana, Kartika Candra, Januari Adi Prasetya, and Slamet Wibawanto. "Analisis ChatGPT dan Perplexity pada Mata Pelajaran Dasar Program Keahlian dengan Jaccard Similarity." Belantika Pendidikan 6, no. 1 (2023): 36–46. https://doi.org/10.47213/bp.v6i1.315.

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ChatGPT and Perplexity are two applications that can be utilized to develop learning materials. However, no research has measured the completeness of material produced by artificial intelligence. Thus, this research aims to analyze ChatGPT and Perplexity as the material collection tool. The material completeness is measured using Jaccard Similarity which compares objects with intersection. Assuming that material completeness can be measured through the intersection of the same material, Jaccard Similarity is proposed with three material search trials using core competencies, basic competencies

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Salamaga, Marcin. "Miernik podobieństwa grupowania obiektów." Wiadomości Statystyczne. The Polish Statistician 2010, no. 6 (2010): 1–11. http://dx.doi.org/10.59139/ws.2010.06.1.

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There are many similarity measures used in cluster analysis, like Rand, Jaccard, Szmigiel or Sokołowski coefficients. In this paper the author presented another measure of classification partition. The value of the proposed S-indicator belongs to [0,1] interval. This depends on number of identical objects in comparative clusters as well as on number of clusters. This indicator can be used for comparison of different partitions, for example by different clustering methods, or by the same classification method if observations are from different periods S-indicator can be used to calculate simila

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Xu, Fuyu, and Kate Beard. "A Unifying Framework for Analysis of Spatial-Temporal Event Sequence Similarity and Its Applications." ISPRS International Journal of Geo-Information 10, no. 9 (2021): 594. http://dx.doi.org/10.3390/ijgi10090594.

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Measures of similarity or differences between data objects are applied frequently in geography, biology, computer science, linguistics, logic, business analytics, and statistics, among other fields. This work focuses on event sequence similarity among event sequences extracted from time series observed at spatially deployed monitoring locations with the aim of enhancing the understanding of process similarity over time and geospatial locations. We present a framework for a novel matrix-based spatiotemporal event sequence representation that unifies punctual and interval-based representation of

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Kumar, Pradeep, Bapi S. Raju, and P. Radha Krishna. "A New Similarity Metric for Sequential Data." International Journal of Data Warehousing and Mining 6, no. 4 (2010): 16–32. http://dx.doi.org/10.4018/jdwm.2010100102.

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In many data mining applications, both classification and clustering algorithms require a distance/similarity measure. The central problem in similarity based clustering/classification comprising sequential data is deciding an appropriate similarity metric. The existing metrics like Euclidean, Jaccard, Cosine, and so forth do not exploit the sequential nature of data explicitly. In this paper, the authors propose a similarity preserving function called Sequence and Set Similarity Measure (S3M) that captures both the order of occurrence of items in sequences and the constituent items of sequenc

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Roni Putra, Sumema, and Zalna Mustika. "Similarity Judul Tugas Akhir Menggunakan Metoda Cosine, Jaccard, Rabin-Karp Pada Jurusan TI." JITSI : Jurnal Ilmiah Teknologi Sistem Informasi 5, no. 4 (2024): 206–12. https://doi.org/10.62527/jitsi.6.1.291.

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Plagiarism can occur anywhere and can be committed by anyone. For example, plagiarism by students when creating college assignments, where they unintentionally use someone else’s writing or ideas and forget to cite the source. Based on the above explanation, it is necessary to develop an information system to assess the percentage of plagiarism for proposed titles. After conducting an implementation test to measure the similarity accuracy and processing speed, a comparison was made between the proposed titles and the existing data, totaling 940 titles. The results showed a similarity rate of 8

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Golkar, Ehsan, Hossein Rabbani, and Ashrani Aizzuddin Abd. Rahni. "Inter-subject Registration-based Segmentation of Thoracic-Abdominal Organs in 4 Dimensional Magnetic Resonance Imaging." Jurnal Kejuruteraan 33, no. 4 (2021): 1045–51. http://dx.doi.org/10.17576/jkukm-2021-33(4)-26.

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4 Dimensional Magnetic Resonance Imaging (4D MRI) is currently gaining attention as an imaging modality which is able to capture inter-cycle variability of respiratory motion. Such information is beneficial for example in radiotherapy planning and delivery. In the latter case, there may be a need for organ segmentation, however 4D MRI are of low contrast, which complicates automated organ segmentation. This paper proposes a multi-subject thoracic-abdominal organ segmentation propagation scheme for 4D MRI. The proposed scheme is registration based, hence different combinations of deformation an

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Guelzim, Ibrahim, Amina Amkoui, and Hammadi Nait-Charif. "Part-Based Lumbar Vertebrae Tracking in Videofluoroscopy Using Particle Filter." International Journal of Computer Vision and Image Processing 10, no. 2 (2020): 29–44. http://dx.doi.org/10.4018/ijcvip.2020040103.

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Vertebrae tracking in videofluoroscopy is a challenging problem because of the low quality ‎of ‎image ‎sequences, like poor image contrast, ambiguous geometry details, and vertebrae rotation. The aim of this article is to tackle this problem by ‎proposing a ‎method for rigid object tracking based on the ‎fragmentation of the tracked object. The proposed method ‎is based on the particle filter using the calculation of the similarity between the ‎respective‏ ‏fragments of ‎objects instead of the whole objects. The similarity measures used are the Jaccard index, the ‎correlation ‎coefficient, and

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Robbins, Michael C. "The Nolan Index: A Quantitative Measure of List Similarities." Journal of Ethnobiology 43, no. 1 (2023): 12–18. http://dx.doi.org/10.1177/02780771231162195.

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Several ethnobiological studies have used the Jaccard Index, a qualitative, binary measure, to compare group similarities and differences in lists of plant and animal species, medicinals, foods, cultural utilities, and so on. We extend this effort by formulating the Nolan Index, a new, more precise quantitative measure of the relative frequency of listed items to compare similarities and differences between groups . It is deployed here to evaluate the degree of similarity of free-listed, wild plants between novices and experts in rural Missouri.

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Xu, Fuyu, and Kate Beard. "A Novel Similarity Measure of Spatiotemporal Event Setting Sequences: Method Development and Case Study." Geographies 3, no. 2 (2023): 303–20. http://dx.doi.org/10.3390/geographies3020016.

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Examining the similarity of event environments or surroundings—more precisely, settings—provides additional insight in analyzing event sequences, as it provides information about the context and potential common factors that may have influenced them. This article proposes a new similarity measure for event setting sequences, which involve the space and time in which events occur. While similarity measures for spatiotemporal event sequences have been studied, the settings and setting sequences have not yet been studied. While modeling event setting sequences, we consider spatial and temporal sc

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Mohammadrezaei, Mohammadreza, Mohammad Ebrahim Shiri, and Amir Masoud Rahmani. "Identifying Fake Accounts on Social Networks Based on Graph Analysis and Classification Algorithms." Security and Communication Networks 2018 (August 5, 2018): 1–8. http://dx.doi.org/10.1155/2018/5923156.

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Social networks have become popular due to the ability to connect people around the world and share videos, photos, and communications. One of the security challenges in these networks, which have become a major concern for users, is creating fake accounts. In this paper, a new model which is based on similarity between the users’ friends’ networks was proposed in order to discover fake accounts in social networks. Similarity measures such as common friends, cosine, Jaccard, L1-measure, and weight similarity were calculated from the adjacency matrix of the corresponding graph of the social net

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Dorosti, Ali, Ali Asghar Alesheikh, and Mohammad Sharif. "Measuring Trajectory Similarity Based on the Spatio-Temporal Properties of Moving Objects in Road Networks." Information 15, no. 1 (2024): 51. http://dx.doi.org/10.3390/info15010051.

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Advancements in navigation and tracking technologies have resulted in a significant increase in movement data within road networks. Analyzing the trajectories of network-constrained moving objects makes a profound contribution to transportation and urban planning. In this context, the trajectory similarity measure enables the discovery of inherent patterns in moving object data. Existing methods for measuring trajectory similarity in network space are relatively slow and neglect the temporal characteristics of trajectories. Moreover, these methods focus on relatively small volumes of data. Thi

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Mishra, Priyanka, and Singh N K. "Allelic Diversity Among Short Duration Maize (Zea mays L.) Genotypes Using SSR Markers." Madras Agricultural Journal 99, JUNE (2012): 232–36. http://dx.doi.org/10.29321/maj.10.100053.

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In the present investigation, 25 lines of maize were analysed for allelic diversity using 15 carotenoids specific simple sequence repeats (SSRs) markers including gene targeted marker y1SSR. All the markers were found to be polymorphic thus able to differentiate different genotypes. Total of 66 alleles were detected across the 15 polymorphic loci with an average of 4.4 alleles per locus. Polymorphic information content (PIC), a measure of diversity analysis, ranged from 0.63 (umc 2047) to 0.83 (y1SSR). Jaccard’s similarity coefficient was found to vary from 0.16 (between CM-300 and LPP-1) to 0

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Qiu, Shuo, Yanfeng Shi, Yanan Liu, Hao Yan, and Zheng Zhang. "2EPV-ApproCom: Enhanced Effective, Private, and Verifiable Approximate Similarity Computation with Server Aided over Scalable Datasets for IoT." Mathematical Problems in Engineering 2023 (May 9, 2023): 1–14. http://dx.doi.org/10.1155/2023/4267309.

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In big data analytics, Jaccard similarity is a widely used block for scalable similarity computation. It is broadly applied in the Internet of Things (IoT) applications, such as credit system, social networking, epidemic tracking, and so on. However, with the increasing privacy concerns of user’s sensitive data for IoT, it is intensively desirable and necessary to investigate privacy-preserving Jaccard similarity computing over two users’ datasets. To boost the efficiency and enhance the security, we propose two methods to measure Jaccard similarity over private sets of two users under the ass

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Chanakot, Benjamin, and Charun Sanrach. "A Thai-language chatbot analyzing mosquito-borne diseases using Jaccard similarity." Bulletin of Electrical Engineering and Informatics 13, no. 1 (2024): 648–55. http://dx.doi.org/10.11591/eei.v13i1.6048.

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The objective of this study is to create a Thai-language chatbot analyzing mosquito-borne diseases using Jaccard similarity with an aim to develop an artificial intelligence (AI)-based chatbot used to analyze Aedes-borne diseases through natural language processing. The analysis occurred when the symptoms provided by users on the chatbot were assessed to select relevant words as text attributes using the term frequency-inverse document frequency (TF-IDF) before the Jaccard similarity was used to measure the similarity of the information on the mosquito-borne disease database. The Line Messagin

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Sheela, S. "Enhancer for ovarian cyst segmentation using adaptive thresholding technique." Indian Journal of Science and Technology 13, no. 39 (2020): 4142–50. http://dx.doi.org/10.17485/ijst/v13i39.1602.

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Objective: To achieve the accurate segmentation of ovarian cyst from the ultrasound images. Method: Ovarian cyst ultrasound images are taken from ultrasound images.com and sonoworld.com. The cysts are segmented using adaptive thresholding technique. The segmented image (binary image) is divided into sub blocks and then number of binary transition in each block is calculated. Based on the number of transition, the pixel values are replaced by 0 or the same pixel value is maintained. In order to measure the performance of the proposed enhancer various measures like Accuracy (ACC), Dice Coefficie

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Tuan, Tran Manh, Luong Thi Hong Lan, Shuo-Yan Chou, et al. "M-CFIS-R: Mamdani Complex Fuzzy Inference System with Rule Reduction Using Complex Fuzzy Measures in Granular Computing." Mathematics 8, no. 5 (2020): 707. http://dx.doi.org/10.3390/math8050707.

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Complex fuzzy theory has strong practical background in many important applications, especially in decision-making support systems. Recently, the Mamdani Complex Fuzzy Inference System (M-CFIS) has been introduced as an effective tool for handling events that are not restricted to only values of a given time point but also include all values within certain time intervals (i.e., the phase term). In such decision-making problems, the complex fuzzy theory allows us to observe both the amplitude and phase values of an event, thus resulting in better performance. However, one of the limitations of

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Febriansyah, Luke Michael, and Shinta Estri Wahyuningrum. "ANALYSIS WINNOWING ALGORITHM FOR TEXT PLAGIARISM DETECTION USING THREE METHOD SIMILARITY." Proxies : Jurnal Informatika 2, no. 2 (2021): 42. http://dx.doi.org/10.24167/proxies.v2i2.3208.

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Cases of plagiarism in recent years has been an issues. Based on that issues, this research will create a system to detect similarity in a text. There is an aspect as reference of the research that is analyze the plagiarism algorithm. This research will analyze the accuracy one of plagiarism check algorithm, winnowing algorithm. Winnowing algorithm is a plagiarism detection algorithm based on document fingerprinting. To calculate percentage similarity of document fingerprinting in text, there are 3 methods to measure similarity that will be used in this research, which is jaccard similarity co

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Mohd Tamrin, Mohd Izzuddin, Sherzod Turaev, Mohd Zulfaezal Che Azemin, Mohamed Jalaldeen Mohamed Razi, and Mohd Hafidz Mahamad Maifiah. "BENCHMARKING OF HALAL FOOD PRODUCTS USING SIMILARITY MEASURES â€“ A CONCEPTUAL MODEL." Journal of Information Systems and Digital Technologies 1, no. 1 (2019): 17–24. http://dx.doi.org/10.31436/jisdt.v1i1.85.

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Muslims are concern with the Halal status of food products sold in the supermarkets. Many products that are imported from overseas are not certified by JAKIM. In this paper, we proposed a conceptual model for benchmarking food products against certified Halal products. Our motivation is to provide similarity measurement between certified and non-certified food products based on their ingredients. This model comprises of three main phases: ingredient acquisition, ingredient transformation and calculate similarity measure. In the first phase, web crawlers are employed to retrieve product informa

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Jimenez, Sergio, Fabio A. Gonzalez, and Alexander Gelbukh. "Mathematical properties of soft cardinality: Enhancing Jaccard, Dice and cosine similarity measures with element-wise distance." Information Sciences 367-368 (November 2016): 373–89. http://dx.doi.org/10.1016/j.ins.2016.06.012.

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Ali, Jawad, and Ahmad N. Al-kenani. "Vector Similarity Measures of Dual Hesitant Fuzzy Linguistic Term Sets and Their Applications." Symmetry 15, no. 2 (2023): 471. http://dx.doi.org/10.3390/sym15020471.

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The dual hesitant fuzzy linguistic term set (DHFLTS) is defined by two functions that express the grade of membership and the grade of non-membership using a set of linguistic terms. In the present work, we first quote an example to point out that the existing complement operation of DHFLTS is on the wrong track. Meanwhile, we redefine this operation to fill the holes in the existing ones. Next, the notion of information energy under a dual hesitant fuzzy linguistic background is provided in order to build the criteria weight determination model. To further facilitate the theory of DHFLTS, we

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Kushnir, O. A., O. S. Seredin, and S. A. Fedotova. "ALGORITHMS FOR ADJUSTMENT OF SYMMETRY AXIS FOUND FOR 2D SHAPES BY THE SKELETON COMPARISON METHOD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W12 (May 9, 2019): 129–36. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w12-129-2019.

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<p><strong>Abstract.</strong> Reflection symmetry detection for 2D shapes is a well-known task in Computer Vision, but there is a limited number of efficient and effective methods for its solution. Our previously proposed approach based on pair-wise comparison of sub-sequences of skeleton primitives finds the axis of symmetry within few seconds. In order to evaluate the value of symmetry relative to the found axis we use the Jaccard similarity measure. It is applied to the pixels subsets of a shape which are split by the axis. Often an axis found by the skeleton comparison me

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Kowalczyk, Paweł, Jacek Izydorczyk, and Marcin Szelest. "Evaluation Methodology for Object Detection and Tracking in Bounding Box Based Perception Modules." Electronics 11, no. 8 (2022): 1182. http://dx.doi.org/10.3390/electronics11081182.

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The aim of this work is to formulate a new metric to be used in the automotive industry for the evaluation process of software used to detect vehicles on video data. To achieve this goal, we have formulated a new concept for measuring the degree of matching between rectangles for industrial use. We propose new measure based on three sub-measures focused on the area of the rectangle, its shape, and distance. These sub-measures are merged into a General similarity measure to avoid problems with poor adaptability of the Jaccard index to practical issues of recognition. Additionally, we create met

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Anantharajan, Shenbagarajan, Shenbagalakshmi Gunasekaran, and havasi Subramanian. "Brain Tumor Segmentation based on Red-Bellied Woodpecker Mating Optimization Algorithm." NeuroQuantology 20, no. 5 (2022): 785–90. http://dx.doi.org/10.14704/nq.2022.20.5.nq22235.

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Earlier, many researchers proposed various segmentation algorithms to segment tumor from MRI Brain image. The method of a nature-inspired meta heuristic-based woodpecker characteristics approach is used to segment the tumored area of this proposed study. In this automated MRI brain tumor segmentation, the MRI brain image gets enhanced for improving the performance of the segmentation accompanied by the skull elimination phase to eliminate the morphological operations of all non-brain tissues. In the end, the RBWMOA (Red-Bellied Woodpecker Mating Optimization Algorithm) is suggested for the seg

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