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» Efficient Spectral Feature Selection with Minimum Redundancy
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AAAI
2010
13 years 6 months ago
Efficient Spectral Feature Selection with Minimum Redundancy
Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and uns...
Zheng Zhao, Lei Wang, Huan Liu
INCDM
2010
Springer
166views Data Mining» more  INCDM 2010»
13 years 2 months ago
Comparison of Redundancy and Relevance Measures for Feature Selection in Tissue Classification of CT Images
In this paper we report on a study on feature selection within the minimum
Benjamin Auffarth, Maite López, Jesú...
KDD
2003
ACM
135views Data Mining» more  KDD 2003»
14 years 5 months ago
Efficiently handling feature redundancy in high-dimensional data
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
Lei Yu, Huan Liu
KDD
2008
ACM
264views Data Mining» more  KDD 2008»
14 years 5 months ago
Stable feature selection via dense feature groups
Many feature selection algorithms have been proposed in the past focusing on improving classification accuracy. In this work, we point out the importance of stable feature selecti...
Lei Yu, Chris H. Q. Ding, Steven Loscalzo