114 search results - page 2 / 23 » Local Feature Selection in Text Clustering |
KDD
2002
ACM
14 years 10 months ago
2002
ACM
In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
PAKDD
2000
ACM
14 years 1 months ago
2000
ACM
In clustering, global feature selection algorithms attempt to select a common feature subset that is relevant to all clusters. Consequently, they are not able to identify individu...
ACL
2006
13 years 11 months ago
2006
We discuss Image Sense Discrimination (ISD), and apply a method based on spectral clustering, using multimodal features from the image and text of the embedding web page. We evalu...
ESANN
2007
13 years 11 months ago
2007
We study dimensionality reduction or feature selection in text document categorization problem. We focus on the first step in building text categorization systems, that is the cho...
TKDE
2008
13 years 9 months ago
2008
Clustering is inherently a difficult task and is made even more difficult when the selection of relevant features is also an issue. In this paper, we propose an approach for simult...