Document Clustering using Word Clusters via the Information Bottleneck Method Noam Slonim and Naftali Tishby School of Computer Science and Engineering and The Interdisciplinary Center for Neural Computation The Hebrew U

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Date: 2003-04-20 20:18:06 Cluster analysis Computational linguistics Information retrieval Information bottleneck method Hierarchical clustering Document clustering Single-linkage clustering Word-sense disambiguation Vector space model Statistics Natural language processing Multivariate statistics		Document Clustering using Word Clusters via the Information Bottleneck Method Noam Slonim and Naftali Tishby School of Computer Science and Engineering and The Interdisciplinary Center for Neural Computation The Hebrew U Add to Reading List Source URL: www.cs.iastate.edu Download Document from Source Website File Size: 162,72 KB Share Document on Facebook

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