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Random Indexing K-tree

De Vries, Christopher M., De Vine, Lance, & Geva, Shlomo (2009) Random Indexing K-tree. In Kay, Judy, Thomas, Paul, & Trotman, Andrew (Eds.) ADCS 2009 : Proceedings of the Fourteenth Australasian Document Computing Symposium, School of Information Technologies, University of Sydney, University of New South Wales, Sydney.

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Abstract

Random Indexing K-tree is the combination of two algorithms suited for large scale document clustering.

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ID Code: 29361
Item Type: Conference Paper
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Keywords: Random Indexing, K-tree, Dimensionality Reduction, B-tree, Search Tree, Clustering, Document Clustering, Vector Quantization, k-means
ISBN: 9781742101712
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTATION THEORY AND MATHEMATICS (080200) > Analysis of Algorithms and Complexity (080201)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Research Centres > High Performance Computing and Research Support
Copyright Owner: Copyright 2009 The authors.
Deposited On: 17 Dec 2009 11:04
Last Modified: 09 May 2013 13:41

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