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KDD
2001
ACM
181views Data Mining» more  KDD 2001»
14 years 8 months ago
Co-clustering documents and words using bipartite spectral graph partitioning
Both document clustering and word clustering are well studied problems. Most existing algorithms cluster documents and words separately but not simultaneously. In this paper we pr...
Inderjit S. Dhillon
IJIS
2008
123views more  IJIS 2008»
13 years 7 months ago
Algorithms of nonlinear document clustering based on fuzzy multiset model
Abstract: Fuzzy multiset is applicable as a model of information retrieval because it has the mathematical structure which expresses the number and the degree of attribution of an ...
Kiyotaka Mizutani, Ryo Inokuchi, Sadaaki Miyamoto
ICDE
2012
IEEE
227views Database» more  ICDE 2012»
11 years 10 months ago
Horizontal Reduction: Instance-Level Dimensionality Reduction for Similarity Search in Large Document Databases
—Dimensionality reduction is essential in text mining since the dimensionality of text documents could easily reach several tens of thousands. Most recent efforts on dimensionali...
Min-Soo Kim 0001, Kyu-Young Whang, Yang-Sae Moon
CSDA
2006
85views more  CSDA 2006»
13 years 7 months ago
Two-way Poisson mixture models for simultaneous document classification and word clustering
An approach to simultaneous document classification and word clustering is developed using a two-way mixture model of Poisson distributions. Each document is represented by a vect...
Jia Li, Hongyuan Zha
HIS
2003
13 years 9 months ago
Evolving Better Stoplists for Document Clustering and Web Intelligence
: Text classification, document clustering and similar document analysis tasks are currently the subject of significant global research, since such areas underpin web intelligence,...
Mark P. Sinka, David Corne