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» An Experimental Study on Feature Subset Selection Methods
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148
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ICML
2003
IEEE
15 years 9 months ago
An Evaluation on Feature Selection for Text Clustering
Feature selection methods have been successfully applied to text categorization but seldom applied to text clustering due to the unavailability of class label information. In this...
Tao Liu, Shengping Liu, Zheng Chen, Wei-Ying Ma
121
Voted
KAIS
2007
97views more  KAIS 2007»
15 years 3 months ago
Stability of feature selection algorithms: a study on high-dimensional spaces
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...
CIKM
2008
Springer
15 years 5 months ago
Ranking information resources in peer-to-peer text retrieval: an experimental study
This paper experimentally studies approaches to the problem of ranking information resources w.r.t. user queries in peer-to-peer information retrieval. In distributed environments...
Hans F. Witschel
151
Voted
PAKDD
2000
ACM
124views Data Mining» more  PAKDD 2000»
15 years 7 months ago
Feature Selection for Clustering
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...
Manoranjan Dash, Huan Liu
130
Voted
RSFDGRC
2005
Springer
111views Data Mining» more  RSFDGRC 2005»
15 years 9 months ago
Feature Selection with Adjustable Criteria
Abstract. We present a study on a rough set based approach for feature selection. Instead of using significance or support, Parameterized Average Support Heuristic (PASH) consider...
Jingtao Yao, Ming Zhang