Relevant bibliographies by topics / Evidence clustering

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Evidence clustering'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Evidence clustering"

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Popov, Evgeny, Viktoria Simonova, and Daria Kazakova. "Investigation of Institutional Clustering: Empirical Evidence." Montenegrin Journal of Economics 12, no. 1 (2016): 65–74. http://dx.doi.org/10.14254/1800-5845/2016.12-1.3.

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Li, Xinde, and Fengyu Wang. "A Clustering-Based Evidence Reasoning Method." International Journal of Intelligent Systems 31, no. 7 (2015): 698–721. http://dx.doi.org/10.1002/int.21800.

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Kwag, Seung-Woog. "Forecast persistence and clustering: Additional evidence." Journal of Economics and Finance 31, no. 3 (2007): 319–30. http://dx.doi.org/10.1007/bf02885722.

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Lourenço, André, Samuel Rota Bulò, Nicola Rebagliati, Ana L. N. Fred, Mário A. T. Figueiredo, and Marcello Pelillo. "Probabilistic consensus clustering using evidence accumulation." Machine Learning 98, no. 1-2 (2013): 331–57. http://dx.doi.org/10.1007/s10994-013-5339-6.

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BB*, Abdulrahman, and Adesola AH. "Evidence of Spatial Clustering Distribution Patterns of Malaria in Epe, Lagos, Nigeria." Epidemiology International Journal 8, no. 4 (2024): 1–9. https://doi.org/10.23880/eij-16000283.

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Investigation of the spatial distribution patterns of malaria with the goal of detecting intense transmission areas and clustering is prerequisite to planning an effective targeted malaria intervention. Parasitological sampling was done in settlements in Epe and Orimedu, Lagos, Nigeria. Blood samples were collected from 360 participants with georeferenced residences, selected through multistage systematic sampling technique. Each study area was delineated into 3 Malaria Risk Zones (MRZs), namely; Very High (V-MRZ), High (H-MRZ) and low (L-MRZ), according to distances of 500m, 1000m and 1500m r
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Chen, Tao. "Price Clustering and Price Barriers: International Evidence." Nang Yan Business Journal 3, no. 1 (2014): 1–16. http://dx.doi.org/10.1515/nybj-2015-0001.

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Abstract In this paper, I try to complement the existing literature by empirically examining the effect of price clustering and price barriers based on the international stock market. Evidence suggests that a strong effect of clustering and barriers is observed on last digit 0. Such effect is not robust and persistent on last digit 5. In addition, the cross-country analysis shows that price clustering and barriers become intensified in countries with a more transparent and open environment.
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Márquez, David G., Paulo Félix, Constantino A. García, Javier Tejedor, Fred, and Otero. "Positive and Negative Evidence Accumulation Clustering for Sensor Fusion: An Application to Heartbeat Clustering." Sensors 19, no. 21 (2019): 4635. http://dx.doi.org/10.3390/s19214635.

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In this work, a new clustering algorithm especially geared towards merging data arising from multiple sensors is presented. The algorithm, called PN-EAC, is based on the ensemble clustering paradigm and it introduces the novel concept of negative evidence. PN-EAC combines both positive evidence, to gather information about the elements that should be grouped together in the final partition, and negative evidence, which has information about the elements that should not be grouped together. The algorithm has been validated in the electrocardiographic domain for heartbeat clustering, extracting
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Michel, F., G. Reidemeister, and S. Ohkubo. "Evidence for Alpha-Particle Clustering in theTi44Nucleus." Physical Review Letters 57, no. 10 (1986): 1215–18. http://dx.doi.org/10.1103/physrevlett.57.1215.

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Jenkins, David, and Sandrine Courtin. "Weighing the evidence for clustering in nuclei." Journal of Physics G: Nuclear and Particle Physics 42, no. 3 (2015): 034010. http://dx.doi.org/10.1088/0954-3899/42/3/034010.

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Rosato, Vittorio, Nicoletta Pucello, and Giovanni Giuliano. "Evidence for cysteine clustering in thermophilic proteomes." Trends in Genetics 18, no. 6 (2002): 278–81. http://dx.doi.org/10.1016/s0168-9525(02)02691-4.

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Dissertations / Theses on the topic "Evidence clustering"

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Chakeri, Alireza. "Scalable Clustering Using the Dempster-Shafer Theory of Evidence." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6478.

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Clustering large data sets has become very important as the amount of available unlabeled data increases. Single Pass Fuzzy C-Means (SPFCM) is useful when memory is too limited to load the whole data set. The main idea is to divide dataset into several chunks and to apply fuzzy c-means (FCM) to each chunk. SPFCM uses the weighted cluster centers of the previous chunk in the next data chunks. However, when the number of chunks is increased, the algorithm shows sensitivity to the order in which the data is processed. Hence, we improved SPFCM by recognizing boundary and noisy data in each chunk a
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Louw, Jan Paul. "Evidence of volatility clustering on the FTSE/JSE top 40 index." Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/5039.

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Thesis (MBA (Business Management))--Stellenbosch University, 2008.<br>ENGLISH ABSTRACT: This research report investigated whether evidence of volatility clustering exists on the FTSE/JSE Top 40 Index. The presence of volatility clustering has practical implications relating to market decisions as well as the accurate measurement and reliable forecasting of volatility. This research report was conducted as an in-depth analysis of volatility, measured over five different return interval sizes covering the sample in non-overlapping periods. Each of the return interval sizes' volatility were analy
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Papathanasiou, Evagelia. "The effects of semantic clustering in L2 word learning : evidence from an action research study." Thesis, University of Sheffield, 2007. http://etheses.whiterose.ac.uk/14503/.

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In recent years, contradictory advice to teachers has been emerging from studies into the use of semantic links or networks in classroom materials and activities for vocabulary learning in a L2. There is some experimental evidence which suggests that learning semantically related words (e.g., body parts) at the same time makes learning more difficult (Tinkham, 1993, 1997; Waring, 1997; Finkbeiner, Nicol, 2003). There is also a theoretical framework that strongly supports the idea that it is very useful to present words of related meaning together so that learners can see the distinctions betwe
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Canadas, Alejandro. "Inequality and Economic Growth: Evidence from Argentina's provinces using Spatial Econometrics." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1211944935.

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Al-Jubouri, Hanan. "Multi evidence fusion scheme for content-based image retrieval by clustering localised colour and texture features." Thesis, University of Buckingham, 2015. http://bear.buckingham.ac.uk/106/.

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Content-Based Image Retrieval (CBIR) is an automatic process of retrieving images according to their visual content. Research in this field mainly follows two directions. The first is concerned with the effectiveness in describing the visual content of images (i.e. features) by a technique that lead to discern similar and dissimilar images, and ultimately the retrieval of the most relevant images to the query image. The second direction focuses on retrieval efficiency by deploying efficient structures in organising images by their features in the database to narrow down the search space. The e
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Cañadas, Alejandro A. "Inequality and economic growth evidence from Argentina's provinces using spatial econometrics /." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1211944935.

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Panayiotou, Helen. "Vibrational spectroscopy of keratin fibres : A forensic approach." Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/15953/7/Helen_Panayiotou_Thesis_ePrint-15953.pdf.

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Human hair profiling is an integral part of a forensic investigation but it is one of the most technically difficult subjects in forensic science. This thesis describes the research and development of a novel approach for the rapid identification of unknown human and other related keratin fibres found at a crime scene. The work presented here is developed systematically and considers sample collection, sample preparation, analysis and interpretation of spectral data for the profiling of hair fibres encountered in criminal cases. Spectral comparison of fibres was facilitated with the use of
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Panayiotou, Helen. "Vibrational spectroscopy of keratin fibres : A forensic approach." Queensland University of Technology, 2004. http://eprints.qut.edu.au/15953/.

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Human hair profiling is an integral part of a forensic investigation but it is one of the most technically difficult subjects in forensic science. This thesis describes the research and development of a novel approach for the rapid identification of unknown human and other related keratin fibres found at a crime scene. The work presented here is developed systematically and considers sample collection, sample preparation, analysis and interpretation of spectral data for the profiling of hair fibres encountered in criminal cases. Spectral comparison of fibres was facilitated with the use of
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Greene, Michael J. "Evidence for a role of the molecular chaperone clusterin in systemic amyloidosis." Thesis, Boston University, 2013. https://hdl.handle.net/2144/11003.

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Thesis (Ph.D.)--Boston University<br>The systemic amyloidoses are a diverse collection of multi-organ diseases that feature misfolding and aggregation of an amyloidogenic protein leading to the shared, common manifestation of extracellular tissue amyloid fibril deposition. As the pathologic mechanisms are complex, molecular, biochemical and biophysical studies of these disease processes are needed to identify factors other than the amyloidogenic protein that may be important. The investigations presented in this thesis have explored the involvement of clusterin (CLU), a plasma protein, in tran
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Gorana, Mijatović. "Dekompozicija neuralne aktivnosti: model za empirijsku karakterizaciju inter-spajk intervala." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2018. https://www.cris.uns.ac.rs/record.jsf?recordId=107498&source=NDLTD&language=en.

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Disertacija se se bavi analizom mogućnosti brze, efikasnei pouzdane klasterizacije masivnog skupa neuralnihsnimaka na osnovu probabilističkih parametara procenjenihiz obrazaca generisanja akcionih potencijala, tzv.&quot;spajkova&quot;, na izlazu pojedinih neurona. Neuralnaaktivnost se grubo može podeliti na periode intezivne,umerene i niske aktivnosti. Shodno tome, predložena jegruba dekompozicija neuralne aktivnosti na tri moda kojaodgovaraju navedenim obrascima neuralne aktivnosti, naosnovu dobro poznatog Gilbert-Eliot modela. Modovi sudodatno ra&scaron;članjeni na sopstvena stanja na osnovu
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Books on the topic "Evidence clustering"

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Chhair, Sokty, and Carol Newman. Clustering, competition, and spillover effects: Evidence from Cambodia. UNU-WIDER, 2014. http://dx.doi.org/10.35188/unu-wider/2014/786-8.

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Lall, Somik V., and Taye Mengistae. Business Environment, Clustering, And Industry Location : Evidence From Indian Cities. The World Bank, 2005. http://dx.doi.org/10.1596/1813-9450-3675.

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Kozlowski, Brian. Evidence for intra-industry effects following earnings restatements: Temporal clustering and business transfer. 2006.

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Getahun, Tigabu Degu. Industrial Clustering, Firm Performance and Employee Welfare: Evidence from the Shoe and Flower Cluster in Ethiopia. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2016.

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Getahun, Tigabu Degu. Industrial Clustering, Firm Performance and Employee Welfare: Evidence from the Shoe and Flower Cluster in Ethiopia. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2016.

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Getahun, Tigabu Degu. Industrial Clustering, Firm Performance and Employee Welfare: Evidence from the Shoe and Flower Cluster in Ethiopia. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2016.

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Industrial Clustering, Firm Performance and Employee Welfare: Evidence from the Shoe and Flower Cluster in Ethiopia. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2016.

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Kessler, Ronald C. Trauma and PTSD in the United States. Edited by Charles B. Nemeroff and Charles R. Marmar. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190259440.003.0007.

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Trauma and PTSD in the United States reviews epidemiological data on the prevalence and correlates of trauma and PTSD in the United States. The chapter begins by examining the comparative prevalence, age-of-onset distributions, and socio-demographic distributions of a wide range of specific traumatic life experiences. Data on the clustering and time-lagged associations among these different types of traumas are then considered. The chapter then reviews evidence on the absolute and relative risks of PTSD and the socio-demographic predictors of PTSD. Data are then reviewed on the course of PTSD
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Frankham, Richard, Jonathan D. Ballou, Katherine Ralls, et al. Determining the number and location of genetically differentiated population fragments. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198783398.003.0010.

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The number and geographic location of genetically differentiated populations must be identified to determine if fragmented populations require genetic management. Clustering of related genotypes to geographic locations (landscape genetic analyses) is used to determine the number of populations and their boundaries, with the simplest analyses relying on random mating within, but not across populations. Evidence of genetic differentiation among populations indicates either that they have drifted apart (and are likely inbred) and/or that the populations are adaptively differentiated. The current
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Peebles, P. J. E. The Large-Scale Structure of the Universe. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691209838.001.0001.

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An instant landmark on its publication, this book remains the essential introduction to this vital area of research. Written by one of the world's most esteemed theoretical cosmologists, it provides an invaluable historical introduction to the subject, and an enduring overview of key methods, statistical measures, and techniques for dealing with cosmic evolution. With characteristic clarity and insight, the author focuses on the largest known structures — galaxy clusters — weighing the empirical evidence of the nature of clustering and the theories of how it evolves in an expanding universe. A
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Book chapters on the topic "Evidence clustering"

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Lourenço, André, Samuel Rota Bulò, Ana Fred, and Marcello Pelillo. "Consensus Clustering with Robust Evidence Accumulation." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40395-8_23.

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Handl, Julia, and Joshua Knowles. "Evidence Accumulation in Multiobjective Data Clustering." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37140-0_41.

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Lourenço, André, Samuel Rota Bulò, Nicola Rebagliati, Ana Fred, Mário Figueiredo, and Marcello Pelillo. "Consensus Clustering Using Partial Evidence Accumulation." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38628-2_8.

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Bulò, Samuel Rota, André Lourenço, Ana Fred, and Marcello Pelillo. "Pairwise Probabilistic Clustering Using Evidence Accumulation." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14980-1_38.

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Bonetti, R., C. Chiesa, A. Guglielmetti, and C. Migliorino. "Evidence of Spontaneous Emission of Oxygen Clusters from 228Th." In Clustering Phenomena in Atoms and Nuclei. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-662-02827-8_30.

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Yingen, Wu, and Huang Keliang. "The Clustering Evidence of Lyman α Forest." In Astrophysical Applications of Gravitational Lensing. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0221-3_29.

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Luo, Huilan, Fansheng Kong, and Yixiao Li. "Clustering Mixed Data Based on Evidence Accumulation." In Advanced Data Mining and Applications. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11811305_38.

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Lourenço, André, Samuel Rota Bulò, Nicola Rebagliati, Ana Fred, Mário Figueiredo, and Marcello Pelillo. "A MAP Approach to Evidence Accumulation Clustering." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12610-4_6.

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Lepskiy, Alexander. "About Some Clustering Algorithms in Evidence Theory." In Data Analysis and Optimization. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-31654-8_12.

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Cujec, B. "Peculiarities in Partial Cross Sections of Light Heavy-Ion Reactions — Evidence for Nuclear Molecules." In Clustering Phenomena in Atoms and Nuclei. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-662-02827-8_59.

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Conference papers on the topic "Evidence clustering"

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Chen, Si, Feiyang Kang, Ning Yu, and Ruoxi Jia. "FASTTRACK: Reliable Fact Tracing via Clustering and LLM-Powered Evidence Validation." In Findings of the Association for Computational Linguistics: EMNLP 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-emnlp.334.

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Davvetas, Athanasios, Iraklis A. Klampanos, and Vangelis Karkaletsis. "Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence." In 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, 2019. http://dx.doi.org/10.1109/ijcnn.2019.8852384.

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"Probabilistic Evidence Accumulation for Clustering Ensembles." In International Conference on Pattern Recognition Applications and Methods. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004267900580067.

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"Evidence Accumulation Clustering using Pairwise Constraints." In International Conference on Knowledge Discovery and Information Retrieval. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0004171902930299.

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Wang, Xueen, Deqiang Han, and Chongzhao Han. "Ensemble clustering based on evidence theory." In 2017 20th International Conference on Information Fusion (Fusion). IEEE, 2017. http://dx.doi.org/10.23919/icif.2017.8009726.

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"Weighted Evidence Accumulation Clustering Using Subsampling." In 6th International Workshop on Pattern Recognition in Information Systems. SciTePress - Science and and Technology Publications, 2006. http://dx.doi.org/10.5220/0002504501040116.

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Lourenco, Andre, Ana L. N. Fred, and Anil K. Jain. "On the Scalability of Evidence Accumulation Clustering." In 2010 20th International Conference on Pattern Recognition (ICPR). IEEE, 2010. http://dx.doi.org/10.1109/icpr.2010.197.

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Mohammed, Hussam, Nathan Clarke, and Fudong Li. "Evidence Identification in Heterogeneous Data Using Clustering." In ARES 2018: International Conference on Availability, Reliability and Security. ACM, 2018. http://dx.doi.org/10.1145/3230833.3233271.

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Silva, Diogo, Helena Aidos, and Ana Fred. "Efficient Evidence Accumulation Clustering for Large Datasets." In International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005770803670374.

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Duarte, F. Jorge, Ana L.N.Fred, Andre Lourenco, and M. Fatima Rodrigues. "Weighting Cluster Ensembles in Evidence Accumulation Clustering." In 2005 Purtuguese Conference on Artificial Intelligence. IEEE, 2005. http://dx.doi.org/10.1109/epia.2005.341287.

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Reports on the topic "Evidence clustering"

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Cordeiro de Amorim, Renato. A survey on feature weighting based K-Means algorithms. Web of Open Science, 2020. http://dx.doi.org/10.37686/ser.v1i2.79.

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In a real-world data set there is always the possibility, rather high in our opinion, that different features may have different degrees of relevance. Most machine learning algorithms deal with this fact by either selecting or deselecting features in the data preprocessing phase. However, we maintain that even among relevant features there may be different degrees of relevance, and this should be taken into account during the clustering process. With over 50 years of history, K-Means is arguably the most popular partitional clustering algorithm there is. The first K-Means based clustering algo
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Wang, Chih-Hao, and Na Chen. Do Multi-Use-Path Accessibility and Clustering Effect Play a Role in Residents' Choice of Walking and Cycling? Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.2011.

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The transportation studies literature recognizes the relationship between accessibility and active travel. However, there is limited research on the specific impact of walking and cycling accessibility to multi-use paths on active travel behavior. Combined with the culture of automobile dependency in the US, this knowledge gap has been making it difficult for policy-makers to encourage walking and cycling mode choices, highlighting the need to promote a walking and cycling culture in cities. In this case, a clustering effect (“you bike, I bike”) can be used as leverage to initiate such a trend
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Audoly, Richard, Rory McGee, Sergio Ocampo, and Gonzalo Paz-Pardo. The Life-Cycle Dynamics of Wealth Mobility. Federal Reserve Bank of New York, 2024. http://dx.doi.org/10.59576/sr.1097.

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We use twenty-five years of tax records for the Norwegian population to study the mobility of wealth over people’s lifetimes. We find considerable wealth mobility over the life cycle. To understand the underlying mobility patterns, we group individuals with similar wealth rank histories using agglomerative hierarchical clustering, a tool from statistical learning. The mobility patterns we elicit provide evidence of segmented mobility. Over 60 percent of the population remains at the top or bottom of the wealth distribution throughout their lives. Mobility is driven by the remaining 40 percent,
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Paynter, Robin A., Celia Fiordalisi, Elizabeth Stoeger, et al. A Prospective Comparison of Evidence Synthesis Search Strategies Developed With and Without Text-Mining Tools. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepcmethodsprospectivecomparison.

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Background: In an era of explosive growth in biomedical evidence, improving systematic review (SR) search processes is increasingly critical. Text-mining tools (TMTs) are a potentially powerful resource to improve and streamline search strategy development. Two types of TMTs are especially of interest to searchers: word frequency (useful for identifying most used keyword terms, e.g., PubReminer) and clustering (visualizing common themes, e.g., Carrot2). Objectives: The objectives of this study were to compare the benefits and trade-offs of searches with and without the use of TMTs for evidence
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Eshed-Williams, Leor, and Daniel Zilberman. Genetic and cellular networks regulating cell fate at the shoot apical meristem. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7699862.bard.

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The shoot apical meristem establishes plant architecture by continuously producing new lateral organs such as leaves, axillary meristems and flowers throughout the plant life cycle. This unique capacity is achieved by a group of self-renewing pluripotent stem cells that give rise to founder cells, which can differentiate into multiple cell and tissue types in response to environmental and developmental cues. Cell fate specification at the shoot apical meristem is programmed primarily by transcription factors acting in a complex gene regulatory network. In this project we proposed to provide si
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