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Hierarchical clustering
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#	Item
331	Discovering Video Clusters from Visual Features and Noisy Tags Arash Vahdat, Guang-Tong Zhou, and Greg Mori School of Computing Science, Simon Fraser University, Canada {avahdat,gza11,mori}@cs.sfu.ca Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2014-06-23 15:27:44 Data mining Geostatistics Machine learning K-means clustering Hierarchical clustering Spectral clustering Consensus clustering Determining the number of clusters in a data set Statistics Cluster analysis Data analysis
332	A Hidden Markov Model-Based Approach to Sequential Data Clustering Antonello Panuccio, Manuele Bicego, and Vittorio Murino Dipartimento di Informatica, University of Verona Ca’ Vignal 2, Strada Le Grazie 15, 37134 Vero Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:44:51 Markov models Cluster analysis Data mining Hidden Markov model Hierarchical clustering Pattern recognition K-means clustering Sequence clustering Markov chain Statistics Machine learning Bioinformatics
333	Data Clustering: K-means and Hierarchical Clustering Add to Reading List Source URL: www.cs.utah.edu Language: English - Date: 2011-10-04 16:23:59 Data mining Geostatistics K-means clustering Hierarchical clustering Unsupervised learning Dendrogram Segmentation Fuzzy clustering Consensus clustering Statistics Cluster analysis Machine learning
334	The Pursuit of Newsworthiness on Twitter Eirik Stavelin University of Bergen Abstract Although journalists follow social media and social media do contain newsworthy insight Add to Reading List Source URL: www.nik.no Language: English - Date: 2014-01-08 09:30:11 World Wide Web Real-time web Social media Text messaging Websites Cluster analysis Hierarchical clustering K-means clustering Hashtag Statistics Computing Twitter
335	Information Systems[removed]–497 Contents lists available at ScienceDirect Information Systems journal homepage: www.elsevier.com/locate/infosys Add to Reading List Source URL: www.business.hku.hk Language: English - Date: 2011-05-16 02:50:47 Cluster analysis Data analysis Data mining Geostatistics Machine learning Hierarchical clustering K-means clustering OPTICS algorithm Fuzzy clustering Geometry Statistics Mathematics
336	R markdown file for “BitPhylogeny: A probabilistic framework for reconstructing intra-tumor phylogenies” Contents 1 The BitPhylogeny package 1 Add to Reading List Source URL: genomebiology.com Language: English Medoid Hierarchical clustering Cluster analysis Statistics Means
337	Hierarchical Maximum-Margin Clustering arXiv:1502.01827v1 [cs.LG] 6 Feb 2015 Guang-Tong Zhou Simon Fraser University, Burnaby, Canada Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2015-02-21 20:52:38 Data mining Geostatistics Hierarchical clustering Document clustering K-means clustering Single-linkage clustering Computer cluster Consensus clustering BIRCH Statistics Cluster analysis Data analysis
338	C-Link: A Hierarchical Clustering Approach to Large-Scale Near-Optimal Coalition Formation Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2014-05-20 05:42:58 Multivariate statistics Cluster analysis Data mining Geostatistics Hierarchical clustering Genetic algorithm Dynamic programming K-means clustering Cooperative game Statistics Mathematical optimization Game theory
339	Ch.5 Classification and Clustering In machine learning, there are two main types of learning problems, supervised and unsupervised learning. An analogy for the former is a French class where the teacher demonstrates the Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-10-12 19:53:02 Data mining Geostatistics Hierarchical clustering Unsupervised learning K-means clustering Consensus clustering Fuzzy clustering Statistics Machine learning Cluster analysis
340	Latent Maximum Margin Clustering Guang-Tong Zhou, Tian Lan, Arash Vahdat, and Greg Mori School of Computing Science Simon Fraser University {gza11,tla58,avahdat,mori}@cs.sfu.ca Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2013-12-02 23:33:32 Cluster analysis Multivariate statistics Data mining Expectation–maximization algorithm Hierarchical clustering K-means clustering Mixture model Latent variable Support vector machine Statistics Statistical models Machine learning

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