Hierarchical clustering

Results: 694



#Item
521Statistical theory / Machine learning / Multivariate statistics / Information Age / Mutual information / Principle of maximum entropy / Cluster analysis / Entropy / Hierarchical clustering / Statistics / Probability and statistics / Information theory

Learning from Noisy Side Information by Generalized Maximum Entropy Model

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Source URL: www.icml2010.org

Language: English - Date: 2010-06-13 09:06:35
522Cluster analysis / Document clustering / Hierarchical clustering / Document-term matrix / Vector space model / Statistics / Multivariate statistics / Non-negative matrix factorization

Improving Quality of Search Results Clustering with Approximate Matrix Factorisations Stanislaw Osinski Poznan Supercomputing and Networking Center, ul. Noskowskiego 10, 61-704, Poznan, Poland [removed]a

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Source URL: stanislaw.osinski.name

Language: English - Date: 2013-12-30 07:59:59
523Cluster analysis / Medoid / K-medoids / K-means clustering / Centroid / Hierarchical clustering / K-medians clustering / Clustering high-dimensional data / Statistics / Computational statistics / Means

grira-houle-last-icml07-formatted.dvi

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Source URL: www.machinelearning.org

Language: English - Date: 2008-12-01 11:24:47
524Data analysis / Data mining / Geostatistics / Machine learning / Information bottleneck method / Document clustering / Word-sense disambiguation / Hierarchical clustering / Consensus clustering / Statistics / Multivariate statistics / Cluster analysis

Disambiguating Web Appearances of People in a Social Network Ron Bekkerman Andrew McCallum

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Source URL: www2005.org

Language: English - Date: 2005-03-31 06:05:15
525Multivariate statistics / Matrix theory / Numerical linear algebra / Non-negative matrix factorization / Network analysis / Hierarchical clustering / Matrix / Singular value decomposition / Gaussian elimination / Algebra / Mathematics / Linear algebra

Package ‘NMF’ July 2, 2014 Type Package Title Algorithms and framework for Nonnegative Matrix Factorization (NMF) Version[removed]Date[removed]

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Source URL: cran.r-project.org

Language: English - Date: 2014-07-02 10:07:06
526Machine learning / Geostatistics / Hierarchical clustering / Gene expression profiling / Dendrogram / K-means clustering / Database / Knowledge discovery / Consensus clustering / Statistics / Cluster analysis / Data mining

A Knowledge Integration Framework for Information Visualization Jinwook Seo1,2 and Ben Shneiderman1,2,3 1.

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Source URL: www.cs.umd.edu

Language: English - Date: 2004-11-12 13:38:29
527Statistics / Clusty / Document clustering / Cluster analysis / Carrot2 / Personalized search / Hierarchical clustering / Folder / Google Search / Information science / Internet search engines / Information retrieval

A Personalized Search Engine Based on Web-Snippet Hierarchical Clustering Paolo Ferragina Antonio Gulli

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Source URL: www2005.org

Language: English - Date: 2005-04-04 12:15:19
528Multivariate statistics / Variation of information / Cluster analysis / Single-linkage clustering / Hierarchical clustering / Rand index / Lattice / Partition of a set / Consensus clustering / Statistics / Mathematics / Machine learning

Comparing Clusterings – An Axiomatic View Marina Meil˘ a University of Washington, Box[removed], Seattle, WA[removed]

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Source URL: www.machinelearning.org

Language: English - Date: 2008-12-01 11:14:19
529Data mining / Geostatistics / Machine learning / Correlation clustering / K-means clustering / Consensus clustering / Hierarchical clustering / Statistics / Cluster analysis / Multivariate statistics

Supervised Clustering with Support Vector Machines Thomas Finley Thorsten Joachims Department of Computer Science, Cornell University, Ithaca, NY[removed]USA

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Source URL: www.machinelearning.org

Language: English - Date: 2008-12-01 11:15:57
530Information bottleneck method / Bioinformatics / Document clustering / Biclustering / Total correlation / Hierarchical clustering / Consensus clustering / Statistics / Multivariate statistics / Cluster analysis

Multi-Way Distributional Clustering via Pairwise Interactions Ron Bekkerman Dept. of Computer Science, University of Massachusetts, Amherst MA, 01003 USA [removed]

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Source URL: www.machinelearning.org

Language: English - Date: 2008-12-01 11:16:14
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