Results 41 to 50 of about 866,547 (282)
Bayesian hierarchical clustering for studying cancer gene expression data with unknown statistics [PDF]
, 2013 Clustering analysis is an important tool in studying gene expression data. The Bayesian hierarchical clustering (BHC) algorithm can automatically infer the number of clusters and uses Bayesian model selection to improve clustering quality. In this paper,
A Su +39 more
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Complexity, 2021 To better reflect the precise clustering results of the data samples with different shapes and densities for affinity propagation clustering algorithm (AP), an improved integrated clustering learning strategy based on three-stage affinity propagation ...
Limin Wang +6 more
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Ward's Hierarchical Clustering Method: Clustering Criterion and Agglomerative Algorithm [PDF]
, 2011 The Ward error sum of squares hierarchical clustering method has been very widely used since its first description by Ward in a 1963 publication. It has also been generalized in various ways.
AK JAIN +22 more
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Data Analysis of College Students’ Mental Health Based on Clustering Analysis Algorithm
Complexity, 2021 Mental health is an important basic condition for college students to become adults. Educators gradually attach importance to strengthening the mental health education of college students.
Yichen Chu, Xiaojian Yin
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A hybrid clustering algorithm for data mining
, 2012 Data clustering is a process of arranging similar data into groups. A clustering algorithm partitions a data set into several groups such that the similarity within a group is better than among groups. In this paper a hybrid clustering algorithm based on
Jain, Ravindra
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Dynamic clustering of time series with Echo State Networks [PDF]
, 2019 In this paper we introduce a novel methodology for unsupervised analysis of time series, based upon the iterative implementation of a clustering algorithm embedded into the evolution of a recurrent Echo State Network.
A Saxena +10 more
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Survey of Clustering Algorithms [PDF]
IEEE Transactions on Neural Networks, 2005 Data analysis plays an indispensable role for understanding various phenomena. Cluster analysis, primitive exploration with little or no prior knowledge, consists of research developed across a wide variety of communities. The diversity, on one hand, equips us with many tools. On the other hand, the profusion of options causes confusion.
Rui, Xu, Donald, Wunsch
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Replica-exchange cluster algorithm [PDF]
Proceedings of The XXVII International Symposium on Lattice Field Theory — PoS(LAT2009), 2010 7 pages, 5 figures, presented at The XXVII International Symposium on Lattice Field Theory, July 26-31 2009, Peking University, Beijing ...
Janke, Wolfhard, Bittner, Elmar
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Multicanonical cluster algorithm
Nuclear Physics B - Proceedings Supplements, 1993 4 pages, 4 ps-figures, LATTICE '92 contribution. Latex, uses espcrc2.sty (available from hep-lat, use Subj: get espcrc2.sty).
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Algorithmic clustering of music [PDF]
Proceedings of the Fourth International Conference onWeb Delivering of Music, 2004. EDELMUSIC 2004., 2004 We present a fully automatic method for music classification, based only on compression of strings that represent the music pieces. The method uses no background knowledge about music whatsoever: it is completely general and can, without change, be used in different areas like linguistic classification and genomics.
Cilibrasi, R. +2 more
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