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» An Evaluation on Feature Selection for Text Clustering
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KDD
2002
ACM
126views Data Mining» more  KDD 2002»
16 years 6 hour ago
Integrating feature and instance selection for text classification
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...
ICMCS
2009
IEEE
117views Multimedia» more  ICMCS 2009»
14 years 9 months ago
Clustering for music search results
Clustering for better representation of the diversity of text or image search results has been studied extensively. In this paper, we extend this methodology to the novel domain o...
Yi-Hsuan Yang, Yu-Ching Lin, Homer H. Chen
NLPRS
2001
Springer
15 years 4 months ago
An Empirical Study of Feature Set Selection for Text Chunking
This paper presents an empirical study for improving the performance of text chunking. We focus on two issues: the problem of selecting feature spaces, and the problem of alleviat...
Young-Sook Hwang, Yong-Jae Kwak, Hoo-Jung Chung, S...
ICML
1997
IEEE
15 years 3 months ago
A Comparative Study on Feature Selection in Text Categorization
This paper is a comparative study of feature selection methods in statistical learning of text categorization. The focus is on aggressive dimensionality reduction. Five methods we...
Yiming Yang, Jan O. Pedersen
AUSDM
2008
Springer
367views Data Mining» more  AUSDM 2008»
15 years 1 months ago
Categorical Proportional Difference: A Feature Selection Method for Text Categorization
Supervised text categorization is a machine learning task where a predefined category label is automatically assigned to a previously unlabelled document based upon characteristic...
Mondelle Simeon, Robert J. Hilderman