Log in

Relevant bibliographies by topics / Clusters detection / Journal articles

To see the other types of publications on this topic, follow the link: Clusters detection.

Journal articles on the topic 'Clusters detection'

Author: Grafiati

Published: 15 June 2024

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Clusters detection.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

AHMAD, WASEEM, and AJIT NARAYANAN. "OUTLIER DETECTION USING HUMORAL-MEDIATED CLUSTERING (HAIS)." International Journal of Computational Intelligence and Applications 11, no. 01 (2012): 1250003. http://dx.doi.org/10.1142/s1469026812500034.

Full text

Abstract:

Outlier detection has important applications in various data mining domains such as fraud detection, intrusion detection, customers' behavior and employees' performance analysis. Outliers are characterized by being significantly or "interestingly" different from the rest of the data. In this paper, a novel cluster-based outlier detection method is proposed using a humoral-mediated clustering algorithm (HAIS) based on concepts of antibody secretion in natural immune systems. The proposed method finds meaningful clusters as well as outliers simultaneously. This is an iterative approach where onl

APA, Harvard, Vancouver, ISO, and other styles

2

Xu, Weiwei, Miriam E. Ramos-Ceja, Florian Pacaud, Thomas H. Reiprich, and Thomas Erben. "Catalog of X-ray-selected extended galaxy clusters from the ROSAT All-Sky Survey (RXGCC)." Astronomy & Astrophysics 658 (February 2022): A59. http://dx.doi.org/10.1051/0004-6361/202140908.

Full text

Abstract:

Context. There is a known tension between cosmological parameter constraints obtained from the primary cosmic microwave background and those drawn from galaxy cluster samples. One possible explanation for this discrepancy may be that the incomplete character of detected clusters is higher than estimated and, as a result, certain types of groups or galaxy clusters have been overlooked in the past. Aims. We aim to search for galaxy groups and clusters with particularly extended surface brightness distributions by creating a new X-ray-selected catalog of extended galaxy clusters from the ROSAT Al

APA, Harvard, Vancouver, ISO, and other styles

3

Reduzzi, Carolina, Serena Di Cosimo, Lorenzo Gerratana, et al. "Circulating Tumor Cell Clusters Are Frequently Detected in Women with Early-Stage Breast Cancer." Cancers 13, no. 10 (2021): 2356. http://dx.doi.org/10.3390/cancers13102356.

Full text

Abstract:

The clinical relevance of circulating tumor cell clusters (CTC-clusters) in breast cancer (BC) has been mostly studied using the CellSearch®, a marker-dependent method detecting only epithelial-enriched clusters. However, due to epithelial-to-mesenchymal transition, resorting to marker-independent approaches can improve CTC-cluster detection. Blood samples collected from healthy donors and spiked-in with tumor mammospheres, or from BC patients, were processed for CTC-cluster detection with 3 technologies: CellSearch®, CellSieve™ filters, and ScreenCell® filters. In spiked-in samples, the 3 tec

APA, Harvard, Vancouver, ISO, and other styles

4

Mas, J.-F., A. Pérez Vega, and A. Ghilardi. "EFFECT OF THE DELAY IN THE REPORTS OF COVID-19 CASES ON NEAR REAL-TIME CLUSTERS DETECTION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (December 13, 2023): 457–62. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-457-2023.

Full text

Abstract:

Abstract. The COVID-19 pandemic has strongly impacted the vast majority of countries in the world. As of today (April 12th, 2023), more than 762 million confirmed cases and nearly 6.9 million deaths are considered widely underestimated. During a pandemic, detecting clusters of patients is crucial to allocate resources and aiding decision-making better as emergent outbreaks continue to grow. However, delays in reporting suspected or confirmed cases can affect the detection of clusters in near real-time. This study aimed to assess whether the delays in reporting COVID-19 in Mexico presented spec

APA, Harvard, Vancouver, ISO, and other styles

5

Baker, Meghan A., Deborah S. Yokoe, John Stelling, et al. "Automated outbreak detection of hospital-associated pathogens: Value to infection prevention programs." Infection Control & Hospital Epidemiology 41, no. 9 (2020): 1016–21. http://dx.doi.org/10.1017/ice.2020.233.

Full text

Abstract:

AbstractObjective:To assess the utility of an automated, statistically-based outbreak detection system to identify clusters of hospital-acquired microorganisms.Design:Multicenter retrospective cohort study.Setting:The study included 43 hospitals using a common infection prevention surveillance system.Methods:A space–time permutation scan statistic was applied to hospital microbiology, admission, discharge, and transfer data to identify clustering of microorganisms within hospital locations and services. Infection preventionists were asked to rate the importance of each cluster. A convenience s

APA, Harvard, Vancouver, ISO, and other styles

6

Hosaka, Yumiko, Aki Hirabayashi, Adam Clark, et al. "Enhanced automated detection of outbreaks of a rare antimicrobial-resistant bacterial species." PLOS ONE 19, no. 10 (2024): e0312477. http://dx.doi.org/10.1371/journal.pone.0312477.

Full text

Abstract:

Surveillance of antimicrobial resistance (AMR) is a crucial strategy to combat AMR. Using routine surveillance data, we could detect and control hospital outbreaks of AMR bacteria as early as possible. Previously, we developed a framework for automatic detection of clusters of AMR bacteria using SaTScan, a free cluster detection tool integrated into WHONET. WHONET is a free software used globally for microbiological surveillance data management. We applied this framework to data from the Japan Nosocomial Infections Surveillance (JANIS), one of the world’s most comprehensive and largest nationa

APA, Harvard, Vancouver, ISO, and other styles

7

Kremer, Kyle, Dongzi Li, Wenbin Lu, Anthony L. Piro, and Bing Zhang. "Prospects for Detecting Fast Radio Bursts in the Globular Clusters of Nearby Galaxies." Astrophysical Journal 944, no. 1 (2023): 6. http://dx.doi.org/10.3847/1538-4357/acabbf.

Full text

Abstract:

Abstract The recent detection of a repeating fast radio burst (FRB) in an old globular cluster in M81 challenges traditional FRB formation mechanisms based on the magnetic activity of young neutron stars formed in core-collapse supernovae. Furthermore, the detection of this repeater in such a nearby galaxy implies a high local universe rate of similar events in globular clusters. Building off the properties inferred from the M81 FRB, we predict the number of FRB sources in nearby (d ≲ 20 Mpc) galaxies with large globular cluster systems known. Incorporating the uncertain burst energy distribut

APA, Harvard, Vancouver, ISO, and other styles

8

Too, L. S., J. Pirkis, A. Milner, and M. J. Spittal. "Clusters of suicides and suicide attempts: detection, proximity and correlates." Epidemiology and Psychiatric Sciences 26, no. 5 (2016): 491–500. http://dx.doi.org/10.1017/s2045796016000391.

Full text

Abstract:

Background.A suicide cluster is defined as a higher number of observed cases occurring in space and/or time than would typically be expected. Previous research has largely focused on identifying clusters of suicides, while there has been comparatively limited research on clusters of suicide attempts. We sought to identify clusters of both types of behaviour, and having done that, identify the factors that distinguish suicide attempts inside a cluster from those that were outside a cluster.Methods.We used data from Western Australia from 2000 to 2011. We defined suicide attempts as admissions t

APA, Harvard, Vancouver, ISO, and other styles

9

Xu, Haoxi, Yiding Wang, Shifan Hou, and Shichen Wei. "Cluster Detection and Centers of Mass Prediction in Images." Applied and Computational Engineering 131, no. 1 (2025): 40–51. https://doi.org/10.54254/2755-2721/2024.20544.

Full text

Abstract:

This paper provides an exhaustive evaluation of different algorithms for the accurate detection and localization of dense clusters on complex image data with a resolution to maintain real centroids in obscure, overlapping, or densely packed situations. Our approach differs by its use of the local maximum algorithm to quickly identify potential cluster centers (by detecting local maxima in pixel intensity) as a first step. The algorithm starts by initializing cluster centers, which are then refined using the k-Means clustering method that iteratively relocates the positions of these clusters un

APA, Harvard, Vancouver, ISO, and other styles

10

Mirmelstein, M., M. Shimon, and Y. Rephaeli. "Detection likelihood of cluster-induced CMB polarization." Astronomy & Astrophysics 644 (November 30, 2020): A36. http://dx.doi.org/10.1051/0004-6361/201834657.

Full text

Abstract:

Nearby galaxy clusters can potentially induce sub-microkelvin polarization signals in the cosmic microwave background (CMB) at characteristic scales of a few arcminutes. We explore four such polarization signals induced in a rich nearby fiducial cluster and calculate the likelihood of their detection by a telescope project with capabilities such as those of the Simons Observatory (SO). In our feasibility analysis, we include instrumental noise, primordial CMB anisotropy, statistical thermal Sunyaev-Zeldovich (SZ) cluster signal, and point source confusion, assuming a few percent of the nominal

APA, Harvard, Vancouver, ISO, and other styles

11

Tarrío, P., J. B. Melin, and M. Arnaud. "A matched filter approach for blind joint detection of galaxy clusters in X-ray and SZ surveys." Astronomy & Astrophysics 614 (June 2018): A82. http://dx.doi.org/10.1051/0004-6361/201731984.

Full text

Abstract:

The combination of X-ray and Sunyaev–Zeldovich (SZ) observations can potentially improve the cluster detection efficiency, when compared to using only one of these probes, since both probe the same medium, the hot ionized gas of the intra-cluster medium. We present a method based on matched multifrequency filters (MMF) for detecting galaxy clusters from SZ and X-ray surveys. This method builds on a previously proposed joint X-ray–SZ extraction method and allows the blind detection of clusters, that is finding new clusters without knowing their position, size, or redshift, by searching on SZ an

APA, Harvard, Vancouver, ISO, and other styles

12

Masuda, Ryo, and Ryo Inoue. "Point Event Cluster Detection via the Bayesian Generalized Fused Lasso." ISPRS International Journal of Geo-Information 11, no. 3 (2022): 187. http://dx.doi.org/10.3390/ijgi11030187.

Full text

Abstract:

Spatial cluster detection is one of the focus areas of spatial analysis, whose objective is the identification of clusters from spatial distributions of point events aggregated in districts with small areas. Choi et al. (2018) formulated cluster detection as a parameter estimation problem to leverage the parameter selection capability of the sparse modeling method called the generalized fused lasso. Although this work is superior to conventional methods for detecting multiple clusters, its estimation results are limited to point estimates. This study therefore extended the above work as a Baye

APA, Harvard, Vancouver, ISO, and other styles

13

FOGGIA, PASQUALE, GENNARO PERCANNELLA, CARLO SANSONE, and MARIO VENTO. "A GRAPH-BASED ALGORITHM FOR CLUSTER DETECTION." International Journal of Pattern Recognition and Artificial Intelligence 22, no. 05 (2008): 843–60. http://dx.doi.org/10.1142/s0218001408006557.

Full text

Abstract:

In some Computer Vision applications there is the need for grouping, in one or more clusters, only a part of the whole dataset. This happens, for example, when samples of interest for the application at hand are present together with several noisy samples. In this paper we present a graph-based algorithm for cluster detection that is particularly suited for detecting clusters of any size and shape, without the need of specifying either the actual number of clusters or the other parameters. The algorithm has been tested on data coming from two different computer vision applications. A compariso

APA, Harvard, Vancouver, ISO, and other styles

14

Mohd Noor, Nurul Hidayah, Hanita Daud, Sami Ullah, Noryanti Muhammad, Evizal Abdul Kadir, and Warih Maharani. "Integrated Eigenspace Method with Spatial Proximity for Disease Cluster Detection." Journal of Advanced Research in Applied Sciences and Engineering Technology 62, no. 2 (2024): 66–80. https://doi.org/10.37934/araset.62.2.6680.

Full text

Abstract:

Spatio-temporal disease cluster detection is crucial for health organizations, especially in low and middle-income countries. These clusters provide useful information that can be used to improve surveillance systems for targeted diseases and allocate necessary resources for intervention effectively. Researchers recently proposed a new nonparametric Eigenspace-based method called Multi-EigenSpot that detects spatio-temporal disease clusters without restricting the quality, shape or distribution of data. In this algorithm, cluster is generally defined as a group of geographical regions that are

APA, Harvard, Vancouver, ISO, and other styles

15

Ullah, Sami, Fahim Raees, and Zahid Khan. "Detection of Space-Time Disease Clusters Using A Matrix Factorization Method." STATISTICS, COMPUTING AND INTERDISCIPLINARY RESEARCH 4, no. 1 (2022): 1–9. http://dx.doi.org/10.52700/scir.v4i1.78.

Full text

Abstract:

Space-time cluster detection has important applications in public health management and epidemiology to devise disease prevention strategies and to find the causes of a particular disease outbreak in a country. This study introduced a new method to detect the potential space-time clusters with no restriction on cluster shape and size and further visualize them distinctly on the heat map. The proposed algorithm is based on matrix factorization technique to find the significant components in spatial as well as temporal dimension. Applications to malaria data in Khyber Pakhtunkhwa, Pakistan shows

APA, Harvard, Vancouver, ISO, and other styles

16

Ullah, Sami, Fahim Raees, and Zahid Khan. "Detection of Space-Time Disease Clusters Using A Matrix Factorization Method." STATISTICS, COMPUTING AND INTERDISCIPLINARY RESEARCH 4, no. 1 (2022): 1–9. http://dx.doi.org/10.52700/scir.v4i1.78.

Full text

Abstract:

Space-time cluster detection has important applications in public health management and epidemiology to devise disease prevention strategies and to find the causes of a particular disease outbreak in a country. This study introduced a new method to detect the potential space-time clusters with no restriction on cluster shape and size and further visualize them distinctly on the heat map. The proposed algorithm is based on matrix factorization technique to find the significant components in spatial as well as temporal dimension. Applications to malaria data in Khyber Pakhtunkhwa, Pakistan shows

APA, Harvard, Vancouver, ISO, and other styles

17

Ullah, Sami, Fahim Raees, and Zahid Khan. "Detection of Space-Time Disease Clusters Using A Matrix Factorization Method." STATISTICS, COMPUTING AND INTERDISCIPLINARY RESEARCH 4, no. 1 (2022): 1–9. http://dx.doi.org/10.52700/scir.v4i1.78.

Full text

Abstract:

Space-time cluster detection has important applications in public health management and epidemiology to devise disease prevention strategies and to find the causes of a particular disease outbreak in a country. This study introduced a new method to detect the potential space-time clusters with no restriction on cluster shape and size and further visualize them distinctly on the heat map. The proposed algorithm is based on matrix factorization technique to find the significant components in spatial as well as temporal dimension. Applications to malaria data in Khyber Pakhtunkhwa, Pakistan shows

APA, Harvard, Vancouver, ISO, and other styles

18

Barthakur, Pijush, Manoj Dahal, and Mrinal Kanti Ghose. "CluSiBotHealer: Botnet Detection through Similarity Analysis of Clusters." Journal of Advances in Computer Networks 3, no. 1 (2015): 49–55. http://dx.doi.org/10.7763/jacn.2015.v3.141.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

ROUNDS, J. M., D. J. BOXRUD, S. L. JAWAHIR, and K. E. SMITH. "Dynamics ofEscherichia coliO157:H7 outbreak detection and investigation, Minnesota 2000–2008." Epidemiology and Infection 140, no. 8 (2011): 1430–38. http://dx.doi.org/10.1017/s0950268811002330.

Full text

Abstract:

SUMMARYWe determined characteristics ofEscherichia coliO157:H7 pulsed-field gel electrophoresis clusters that predict their being solved (i.e. that result in identification of a confirmed outbreak). Clusters were investigated by the Minnesota Department of Health (MDH) using a dynamic iterative model. During 2000–2008, 19 (23%) of 84 clusters were solved. Clusters of ⩾3 isolates were more likely to be solved than clusters of two isolates. Clusters in which the first two case isolates were received at MDH on the same day were more likely to be solved than were clusters in which the first two ca

APA, Harvard, Vancouver, ISO, and other styles

20

Di Mascolo, Luca, Tony Mroczkowski, Eugene Churazov, et al. "The Massive and Distant Clusters of WISE Survey." Astronomy & Astrophysics 638 (June 2020): A70. http://dx.doi.org/10.1051/0004-6361/202037818.

Full text

Abstract:

Context. The Massive and Distant Clusters of WISE Survey (MaDCoWS) provides a catalog of high-redshift (0.7 ≲ z ≲ 1.5) infrared-selected galaxy clusters. However, the verification of the ionized intracluster medium, indicative of a collapsed and nearly virialized system, is made challenging by the high redshifts of the sample members. Aims. The main goal of this work is to test the capabilities of the Atacama Compact Array (ACA; also known as the Morita Array) Band 3 observations, centered at about 97.5 GHz, to provide robust validation of cluster detections via the thermal Sunyaev–Zeldovich (

APA, Harvard, Vancouver, ISO, and other styles

21

Danganan, Alvincent Egonia, Ariel M. Sison, and Ruji P. Medina. "OCA: overlapping clustering application unsupervised approach for data analysis." Indonesian Journal of Electrical Engineering and Computer Science 14, no. 3 (2019): 1471. http://dx.doi.org/10.11591/ijeecs.v14.i3.pp1471-1478.

Full text

Abstract:

<p>In this paper, a new data analysis tool called Overlapping Clustering Application (OCA) was presented. It was developed to identify overlapping clusters and outliers in an unsupervised manner. The main function of OCA is composed of three phases. The first phase is the detection of the abnormal values(outliers) in the datasets using median absolute deviation. The second phase is to segment data objects into cluster using k-means algorithm. Finally, the last phase is the identification of overlapping clusters, it uses maxdist (maximum distance of data objects allowed in a cluster) as a

APA, Harvard, Vancouver, ISO, and other styles

22

Jokinen, T., M. Sipilä, H. Junninen, et al. "Atmospheric sulphuric acid and neutral cluster measurements using CI-APi-TOF." Atmospheric Chemistry and Physics Discussions 11, no. 12 (2011): 31983–2002. http://dx.doi.org/10.5194/acpd-11-31983-2011.

Full text

Abstract:

Abstract. The first ambient measurements using nitrate ion based Chemical Ionization with the Atmospheric Pressure interface Time-Of-Flight mass spectrometer (CI-APi-TOF) for sulphuric acid and neutral cluster detection are presented. We have found CI-APi-TOF a highly stable and sensitive tool for molecular sulphuric acid detection. The lowest limit of detection for sulphuric acid was determined to be 3 × 104 molecules cm−3 for two hour averaging. Signals from sulphuric acid clusters up to tetramer accompanied by ammonia were also obtained but these were found to result from naturally charged

APA, Harvard, Vancouver, ISO, and other styles

23

Jokinen, T., M. Sipilä, H. Junninen, et al. "Atmospheric sulphuric acid and neutral cluster measurements using CI-APi-TOF." Atmospheric Chemistry and Physics 12, no. 9 (2012): 4117–25. http://dx.doi.org/10.5194/acp-12-4117-2012.

Full text

Abstract:

Abstract. The first ambient measurements using nitrate ion based Chemical Ionization with the Atmospheric Pressure interface Time-Of-Flight mass spectrometer (CI-APi-TOF) for sulphuric acid and neutral cluster detection are presented. We have found CI-APi-TOF a highly stable and sensitive tool for molecular sulphuric acid detection. The lowest limit of detection for sulphuric acid was determined to be 3.6 × 104 molecules cm−3 for 15 min averaging. Signals from sulphuric acid clusters up to tetramer containing ammonia were also obtained but these were found to result from naturally charged clus

APA, Harvard, Vancouver, ISO, and other styles

24

Kitayama, Takumi, Masaya Kozuka, Yasuhiro Aruga, and Chikara Ichihara. "A Precise Method for Analysis of Elemental Distribution Inside Solute Clusters." Microscopy and Microanalysis 25, no. 2 (2019): 349–55. http://dx.doi.org/10.1017/s1431927619000126.

Full text

Abstract:

AbstractA procedure to analyze the elemental concentration distribution inside solute clusters after detection of clusters from atom probe tomography data set was proposed. We developed a code which can directly illustrate an average concentration profile inside a cluster even in the case of including various sizes of ellipsoidal clusters. The profile can be with respect to absolute distance and includes errors in each data point. The reliability of the developed code was verified by analyzing an artificial cluster model which has inhomogeneous elemental distribution. It was found that the pre

APA, Harvard, Vancouver, ISO, and other styles

25

Käfer, Florian, Alexis Finoguenov, Dominique Eckert, et al. "Toward the low-scatter selection of X-ray clusters." Astronomy & Astrophysics 634 (January 28, 2020): A8. http://dx.doi.org/10.1051/0004-6361/201936131.

Full text

Abstract:

Context. One key ingredient in using galaxy clusters as a precision cosmological probe in large X-ray surveys is understanding selection effects. The dependence of the X-ray emission on the square of the gas density leads to a predominant role of cool cores in the detection of galaxy clusters. The contribution of cool cores to the X-ray luminosity does not scale with cluster mass and cosmology and therefore affects the use of X-ray clusters in producing cosmological constraints. Aims. One of the main science goals of the extended ROentgen Survey with an Imaging Telescope Array (eROSITA) missio

APA, Harvard, Vancouver, ISO, and other styles

26

Xie, Yiqun, Xiaowei Jia, Shashi Shekhar, Han Bao, and Xun Zhou. "Significant DBSCAN+: Statistically Robust Density-based Clustering." ACM Transactions on Intelligent Systems and Technology 12, no. 5 (2021): 1–26. http://dx.doi.org/10.1145/3474842.

Full text

Abstract:

Cluster detection is important and widely used in a variety of applications, including public health, public safety, transportation, and so on. Given a collection of data points, we aim to detect density-connected spatial clusters with varying geometric shapes and densities, under the constraint that the clusters are statistically significant. The problem is challenging, because many societal applications and domain science studies have low tolerance for spurious results, and clusters may have arbitrary shapes and varying densities. As a classical topic in data mining and learning, a myriad of

APA, Harvard, Vancouver, ISO, and other styles

27

Jiongzhou, Liu, Li Jituo, and Lu Guodong. "Deformation similarity clustering based collision detection in clothing simulation." International Journal of Clothing Science and Technology 26, no. 5 (2014): 395–411. http://dx.doi.org/10.1108/ijcst-08-2013-0095.

Full text

Abstract:

Purpose – The 3D dynamic clothing simulation is widely used in computer-added garment design. Collision detection and response are the essential component and also the efficiency bottleneck in the simulation. The purpose of this paper is to propose a high efficient collision detection algorithm for 3D clothing-human dynamic simulation to achieve both real-time and virtually real simulation effects. Design/methodology/approach – The authors approach utilizes the offline data learning results to simplify the online collision detection complexity. The approach includes two stages. In the off-line

APA, Harvard, Vancouver, ISO, and other styles

28

Wang, Jing Hua, Xin Xiang Zhao, Peng Jin, and Guo Yan Zhang. "An Optimized Pruning-Based Outlier Detecting Algorithm." Applied Mechanics and Materials 411-414 (September 2013): 1076–80. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.1076.

Full text

Abstract:

An Optimized Pruning-based Outlier Detecting algorithm is proposed based on the density-based outlier detecting algorithm (LOF algorithm). The calculation accuracy and the time complexity of LOF algorithm are not ideal, so two steps are taken to reduce the amount of calculation and improve the calculation accuracy for LOF algorithm. Firstly, using cluster pruning technique to preprocess data set, at the same time filtering the non-outliers based on the differences of cluster models to avoid the error pruning of outliers located at the edge of clusters, different cluster models are output by in

APA, Harvard, Vancouver, ISO, and other styles

29

Fang, Changjian, Dejun Mu, Zhenghong Deng, Jun Hu, and Chen-He Yi. "Fast detection of the fuzzy communities based on leader-driven algorithm." International Journal of Modern Physics B 32, no. 06 (2018): 1850058. http://dx.doi.org/10.1142/s0217979218500583.

Full text

Abstract:

In this paper, we present the leader-driven algorithm (LDA) for learning community structure in networks. The algorithm allows one to find overlapping clusters in a network, an important aspect of real networks, especially social networks. The algorithm requires no input parameters and learns the number of clusters naturally from the network. It accomplishes this using leadership centrality in a clever manner. It identifies local minima of leadership centrality as followers which belong only to one cluster, and the remaining nodes are leaders which connect clusters. In this way, the number of

APA, Harvard, Vancouver, ISO, and other styles

30

Li, Yating, Jianghui Cai, Haifeng Yang, et al. "Singular-Value-Based Cluster Number Detection Method." Mathematics 13, no. 3 (2025): 527. https://doi.org/10.3390/math13030527.

Full text

Abstract:

The cluster number can directly affect the clustering effect and its application in real-world scenarios. Its determination is one of the key issues in cluster analysis. According to singular value decomposition (SVD), the characteristic directions of larger singular values likely represent the primary data patterns, trends, or structures corresponding to the main information. In clustering analysis, the main information and structure are likely related to the cluster structure itself. The number of larger singular values may correspond to the number of clusters, and their main information may

APA, Harvard, Vancouver, ISO, and other styles

31

Lubin, Lori M. "Clusters in the Optical." Highlights of Astronomy 13 (2005): 286–90. http://dx.doi.org/10.1017/s1539299600015811.

Full text

Abstract:

AbstractI present a brief review of studies of galaxy clusters in the optical. Clusters of galaxies were historically detected in the optical, and this selection provided the first large, statistical samples of clusters. I describe how these samples have been instrumental in characterizing the properties of the local cluster population, tracing large scale structure, and constraining cosmology. More sophisticated cluster detection techniques in the optical have now made it possible to detect large numbers of clusters up to z ~ 1.4. I describe these advances and discuss how large-area and deep

APA, Harvard, Vancouver, ISO, and other styles

32

Huang, Lan, Linda W. Pickle, David Stinchcomb, and Eric J. Feuer. "Detection of Spatial Clusters." Epidemiology 18, no. 1 (2007): 73–87. http://dx.doi.org/10.1097/01.ede.0000249994.30736.24.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Held, Janis, Anna Beer, and Thomas Seidl. "Chain-detection Between Clusters." Datenbank-Spektrum 19, no. 3 (2019): 219–30. http://dx.doi.org/10.1007/s13222-019-00324-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Bogdán, Ákos, Lorenzo Lovisari, Patrick Ogle, et al. "Detection of a Superluminous Spiral Galaxy in the Heart of a Massive Galaxy Cluster." Astrophysical Journal 930, no. 2 (2022): 138. http://dx.doi.org/10.3847/1538-4357/ac62cd.

Full text

Abstract:

Abstract It is well established that brightest cluster galaxies (BCGs), residing in the centers of galaxy clusters, are typically massive and quenched galaxies with cD or elliptical morphology. An optical survey suggested that an exotic galaxy population, superluminous spiral and lenticular galaxies, could be the BCGs of some galaxy clusters. Because the cluster membership and the centroid of a cluster cannot be accurately determined based solely on optical data, we followed up a sample of superluminous disk galaxies and their environments using XMM-Newton X-ray observations. Specifically, we

APA, Harvard, Vancouver, ISO, and other styles

35

Klein, M., J. J. Mohr, and C. T. Davies. "The ACT-DR5 MCMF galaxy cluster catalog." Astronomy & Astrophysics 690 (October 2024): A322. http://dx.doi.org/10.1051/0004-6361/202451203.

Full text

Abstract:

Galaxy clusters are useful cosmological probes and interesting astrophysical laboratories. As the cluster samples continue to grow in size, a deeper understanding of the sample characteristics and improved control of systematics becomes more crucial. For this analysis we created a new and larger ACT-DR5-based thermal Sunyaev–Zel’dovich Effect- (tSZE-) selected galaxy cluster catalog with improved control over sample purity and completeness. We employed the red sequence based cluster redshift and confirmation tool MCMF together with optical imaging data from the Legacy Survey DR-10 and infrared

APA, Harvard, Vancouver, ISO, and other styles

36

E.Sateesh, E. Sateesh, and M. L. Prasanthi M.L.Prasanthi. "Classic Outlier Detection from Web Clusters using Disimilarity Measure." Paripex - Indian Journal Of Research 2, no. 3 (2012): 98–101. http://dx.doi.org/10.15373/22501991/mar2013/37.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Smyser, Timothy J., Richard J. Guenzel, Christopher N. Jacques, and Edward O. Garton. "Double-observer evaluation of pronghorn aerial line-transect surveys." Wildlife Research 43, no. 6 (2016): 474. http://dx.doi.org/10.1071/wr16006.

Full text

Abstract:

Context Distance sampling is used to estimate abundance for several taxa, including pronghorn (Antilocapra americana). Comparisons between population estimates derived from quadrat sampling and distance sampling suggest that distance sampling underestimates pronghorn density, likely owing to violations of the critical assumption of distance sampling that all pronghorn within the innermost distance band (A band; nearest to the aircraft) are detected. Aims We sought to rigorously test the assumption that all pronghorn clusters are detected within the innermost distance band by applying a double-

APA, Harvard, Vancouver, ISO, and other styles

38

Safonova, Margarita, and Sohrab Rahvar. "Detection of IMBHs from microlensing in globular clusters." Proceedings of the International Astronomical Union 2, S238 (2006): 439–40. http://dx.doi.org/10.1017/s1743921307005844.

Full text

Abstract:

AbstractGlobular clusters have been long predicted to host intermediate-mass black holes (IMBHs) in their centres. The growing evidence that some/all Galactic globular clusters (GCs) could harbour middle range (102 – 104M⊙) black holes, just as galaxies do, stimulates the searches and the development of new methods for proving their existence. Here we propose another method of detection – the microlensing of the cluster stars by the central BH.

APA, Harvard, Vancouver, ISO, and other styles

39

Nenashev, Vadim A., Igor G. Khanykov, and Mikhail V. Kharinov. "A Model of Pixel and Superpixel Clustering for Object Detection." Journal of Imaging 8, no. 10 (2022): 274. http://dx.doi.org/10.3390/jimaging8100274.

Full text

Abstract:

The paper presents a model of structured objects in a grayscale or color image, described by means of optimal piecewise constant image approximations, which are characterized by the minimum possible approximation errors for a given number of pixel clusters, where the approximation error means the total squared error. An ambiguous image is described as a non-hierarchical structure but is represented as an ordered superposition of object hierarchies, each containing at least one optimal approximation in g0 = 1,2,..., etc., colors. For the selected hierarchy of pixel clusters, the objects-of-inte

APA, Harvard, Vancouver, ISO, and other styles

40

Erly, Steven J., Joshua T. Herbeck, Roxanne P. Kerani, and Jennifer R. Reuer. "Characterization of Molecular Cluster Detection and Evaluation of Cluster Investigation Criteria Using Machine Learning Methods and Statewide Surveillance Data in Washington State." Viruses 12, no. 2 (2020): 142. http://dx.doi.org/10.3390/v12020142.

Full text

Abstract:

Molecular cluster detection can be used to interrupt HIV transmission but is dependent on identifying clusters where transmission is likely. We characterized molecular cluster detection in Washington State, evaluated the current cluster investigation criteria, and developed a criterion using machine learning. The population living with HIV (PLWH) in Washington State, those with an analyzable genotype sequences, and those in clusters were described across demographic characteristics from 2015 to2018. The relationship between 3- and 12-month cluster growth and demographic, clinical, and temporal

APA, Harvard, Vancouver, ISO, and other styles

41

Shoji, Tomokazu, Natsu Sato, Haruhisa Fukuda, Yuichi Muraki, Keishi Kawata, and Manabu Akazawa. "Clinical Implication of the Relationship between Antimicrobial Resistance and Infection Control Activities in Japanese Hospitals: A Principal Component Analysis-Based Cluster Analysis." Antibiotics 11, no. 2 (2022): 229. http://dx.doi.org/10.3390/antibiotics11020229.

Full text

Abstract:

There are few multicenter investigations regarding the relationship between antimicrobial resistance (AMR) and infection-control activities in Japanese hospitals. Hence, we aimed to identify Japanese hospital subgroups based on facility characteristics and infection-control activities. Moreover, we evaluated the relationship between AMR and hospital subgroups. We conducted a cross-sectional study using administrative claims data and antimicrobial susceptibility data in 124 hospitals from April 2016 to March 2017. Hospitals were classified using cluster analysis based the principal component an

APA, Harvard, Vancouver, ISO, and other styles

42

Duan, Guiqin, and Chensong Zou. "A clustering effectiveness measurement model based on merging similar clusters." PeerJ Computer Science 10 (February 29, 2024): e1863. http://dx.doi.org/10.7717/peerj-cs.1863.

Full text

Abstract:

This article presents a clustering effectiveness measurement model based on merging similar clusters to address the problems experienced by the affinity propagation (AP) algorithm in the clustering process, such as excessive local clustering, low accuracy, and invalid clustering evaluation results that occur due to the lack of variety in some internal evaluation indices when the proportion of clusters is very high. First, depending upon the “rough clustering” process of the AP clustering algorithm, similar clusters are merged according to the relationship between the similarity between any two

APA, Harvard, Vancouver, ISO, and other styles

43

Filippi, Margaux, Irina I. Rypina, Alireza Hadjighasem, and Thomas Peacock. "An Optimized-Parameter Spectral Clustering Approach to Coherent Structure Detection in Geophysical Flows." Fluids 6, no. 1 (2021): 39. http://dx.doi.org/10.3390/fluids6010039.

Full text

Abstract:

In Lagrangian dynamics, the detection of coherent clusters can help understand the organization of transport by identifying regions with coherent trajectory patterns. Many clustering algorithms, however, rely on user-input parameters, requiring a priori knowledge about the flow and making the outcome subjective. Building on the conventional spectral clustering method of Hadjighasem et al. (2016), a new optimized-parameter spectral clustering approach is developed that automatically identifies optimal parameters within pre-defined ranges. A noise-based metric for quantifying the coherence of th

APA, Harvard, Vancouver, ISO, and other styles

44

Grosbøl, Preben, and Horacio Dottori. "Comparing ALMA, VLT, and HST data for Massive, Young Clusters in Grand-Design Spirals." Proceedings of the International Astronomical Union 12, S316 (2015): 141–42. http://dx.doi.org/10.1017/s1743921316007080.

Full text

Abstract:

AbstractA population of young, massive stellar cluster complexes with near-infrared (NIR) colors indicating high extinction (i.e. Av ~ 7m) was identified on HAWK-I/VLT images of several nearby, grand-design spiral galaxies. Models suggest that they are very young cluster complexes still embedded in a dust/gas envelope which will be expelled after 5-7 Myr. This type of very young, embedded clusters are not seen in optical studies using HST data.A detailed comparison of HST and HAWK-I images was done to better understand the discrepancy between the optical and NIR detection of stellar clusters i

APA, Harvard, Vancouver, ISO, and other styles

45

Gran, F., M. Zoccali, R. Contreras Ramos, et al. "Globular cluster candidates in the Galactic bulge: Gaia and VVV view of the latest discoveries." Astronomy & Astrophysics 628 (August 2019): A45. http://dx.doi.org/10.1051/0004-6361/201834986.

Full text

Abstract:

Context. Thanks to the recent wide-area photometric surveys, the number of star cluster candidates have risen exponentially in the last few years. Most detections, however, are based only on the presence of an overdensity of stars in a given region or an overdensity of variable stars, regardless of their distance. As candidates, their detection has not been dynamically confirmed. Therefore, it is currently unknown how many and which of the published candidates are true clusters and which are chance alignments. Aims. We present a method to detect and confirm star clusters based on the spatial d

APA, Harvard, Vancouver, ISO, and other styles

46

Bevington, Connor WJ, Ju-Chieh (Kevin) Cheng, Ivan S. Klyuzhin, Mariya V. Cherkasova, Catharine A. Winstanley, and Vesna Sossi. "A Monte Carlo approach for improving transient dopamine release detection sensitivity." Journal of Cerebral Blood Flow & Metabolism 41, no. 1 (2020): 116–31. http://dx.doi.org/10.1177/0271678x20905613.

Full text

Abstract:

Current methods using a single PET scan to detect voxel-level transient dopamine release—using F-test (significance) and cluster size thresholding—have limited detection sensitivity for clusters of release small in size and/or having low release levels. Specifically, simulations show that voxels with release near the peripheries of such clusters are often rejected—becoming false negatives and ultimately distorting the F-distribution of rejected voxels. We suggest a Monte Carlo method that incorporates these two observations into a cost function, allowing erroneously rejected voxels to be accep

APA, Harvard, Vancouver, ISO, and other styles

47

West, Michael J., Patrick Côté, Henry C. Ferguson, et al. "Intergalactic Globular Clusters." Highlights of Astronomy 13 (2005): 175–76. http://dx.doi.org/10.1017/s1539299600015513.

Full text

Abstract:

AbstractWe confirm and extend our previous detection of a population of intergalactic globular clusters in Abell 1185, and report the first discovery of an intergalactic globular cluster in the nearby Virgo cluster of galaxies. The numbers, colors and luminosities of these objects can place constraints on their origin, which in turn may yield new insights to the evolution of galaxies in dense environments.

APA, Harvard, Vancouver, ISO, and other styles

48

R., Yasir Abdullah, Mary Posonia A., and Barakkath Nisha U. "A Graph Correlated Anomaly Detection with Fuzzy Model for Distributed Wireless Sensor Networks." International Journal of Electrical and Electronic Engineering & Telecommunications 12, no. 5 (2023): 306–16. http://dx.doi.org/10.18178/ijeetc.12.5.306-316.

Full text

Abstract:

Wireless sensor networks have limited power for processing data, storage, and communication. Due to power shortages and anonymous attacks, sensor nodes may produce faulty or anomaly data which affects the accuracy of the entire system. Effective anomaly detection is essential to make an accurate prediction of the result. Moreover, clustering-based anomaly detection reduces energy consumption by avoiding individual sensory data reporting to the base station. The proposed methodology consists of two phases: Correlated graph clustering, and anomaly detection using a Fuzzy model. In the first phas

APA, Harvard, Vancouver, ISO, and other styles

49

Ma, Shu Hua, Jin Kuan Wang, Zhi Gang Liu, and Hou Yan Jiang. "Density-Based Distributed Elliptical Anomaly Detection in Wireless Sensor Networks." Applied Mechanics and Materials 249-250 (December 2012): 226–30. http://dx.doi.org/10.4028/www.scientific.net/amm.249-250.226.

Full text

Abstract:

Data measured and collected by WSNs is often unreliable and a big amount of anomaly data exist. Detecting these anomaly in energy-constrained situations is an important challenge in managing these types of networks. To detect anomalies induced by the decrease of battery power, we use HyCARCE algorithm but it has the problem of low detection rate and high false positive rate when the input space consists of a mixture of dense and sparse regions which make the anomalies form clusters. The paper presents a density-based algorithm to separate the normal cluster from all clusters. The performance o

APA, Harvard, Vancouver, ISO, and other styles

50

Klesman, Alison J., and Vicki L. Sarajedini. "Multiwavelength Detection of Cluster AGN." Proceedings of the International Astronomical Union 5, S267 (2009): 112. http://dx.doi.org/10.1017/s1743921310005739.

Full text

Abstract:

AbstractWe present the initial results of a multiwavelength study to detect AGN in several galaxy clusters at moderate redshifts (0.5 < z < 0.9). By using multiple epochs of HST data, we identify 10–15 optically variable galactic nuclei in each cluster. The variable and non-variable galaxies are compared with X-ray point sources.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!