IPM
2002
13 years 4 months ago
2002
Hierarchic document clustering has been widely applied to Information Retrieval (IR) on the grounds of its potential improved effectiveness over inverted file search. However, pre...
SDM
2003
SIAM
13 years 5 months ago
2003
SIAM
A major challenge in document clustering is the extremely high dimensionality. For example, the vocabulary for a document set can easily be thousands of words. On the other hand, ...
ACST
2006
13 years 5 months ago
2006
This paper investigates the applicability of distributed clustering technique, called RACHET [1], to organize large sets of distributed text data. Although the authors of RACHET c...
LWA
2007
13 years 5 months ago
2007
Large, high dimensional data spaces, are still a challenge for current data clustering methods. Frequent Termset (FTS) clustering is a technique developed to cope with these chall...
LREC
2008
13 years 5 months ago
2008
This paper proposes a ping-pong document clustering method using NMF and the linkage based refinement alternately, in order to improve the clustering result of NMF. The use of NMF...
CIKM
2008
Springer
13 years 6 months ago
2008
Springer
Document understanding techniques such as document clustering and multi-document summarization have been receiving much attention in recent years. Current document clustering meth...
CIKM
2008
Springer
13 years 6 months ago
2008
Springer
We present an approach to document clustering based on winnowing fingerprints that achieved good values of effectiveness with considerable save in memory space and computation tim...
CIKM
2008
Springer
13 years 6 months ago
2008
Springer
In this paper we propose an extension of the PLSA model in which an extra latent variable allows the model to cocluster documents and terms simultaneously. We show on three datase...
CIKM
2006
Springer
13 years 8 months ago
2006
Springer
Incremental hierarchical text document clustering algorithms are important in organizing documents generated from streaming on-line sources, such as, Newswire and Blogs. However, ...
AIRS
2006
Springer
13 years 8 months ago
2006
Springer
Recently, much research has been proposed using nature inspired algorithms to perform complex machine learning tasks. Ant Colony Optimization (ACO) is one such algorithm based on s...