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» On Weighting Clustering
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SDM
2004
SIAM
162views Data Mining» more  SDM 2004»
15 years 1 months ago
Subspace Clustering of High Dimensional Data
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
Carlotta Domeniconi, Dimitris Papadopoulos, Dimitr...
TKDE
2008
175views more  TKDE 2008»
14 years 11 months ago
Efficient Phrase-Based Document Similarity for Clustering
Phrase has been considered as a more informative feature term for improving the effectiveness of document clustering. In this paper, we propose a phrase-based document similarity t...
Hung Chim, Xiaotie Deng
GD
2005
Springer
15 years 5 months ago
Drawing Clustered Graphs in Three Dimensions
Clustered graph is a very useful model for drawing large and complex networks. This paper presents a new method for drawing clustered graphs in three dimensions. The method uses a ...
Joshua Wing Kei Ho, Seok-Hee Hong
SIGIR
2002
ACM
14 years 11 months ago
Generic summarization and keyphrase extraction using mutual reinforcement principle and sentence clustering
A novel method for simultaneous keyphrase extraction and generic text summarization is proposed by modeling text documents as weighted undirected and weighted bipartite graphs. Sp...
Hongyuan Zha
JOT
2010
153views more  JOT 2010»
14 years 10 months ago
Identification of System Software Components Using Clustering Approach
The selection of software architecture style is an important decision of design stage, and has a significant impact on various system quality attributes. To determine software arc...
Gholamreza Shahmohammadi, Saeed Jalili, Seyed Moha...