5603 search results - page 87 / 1121 » Feature Selection for Clustering |
145
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HCI
2011
14 years 7 months ago
2011
Crowdsourcing is emerging as a wellspring of creative designs. This paper examines the mechanisms that support collective design. A sequential combination system is described: one ...
142
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GRC
2010
IEEE
15 years 2 months ago
2010
IEEE
Given high-dimensional software measurement data, researchers and practitioners often use feature (metric) selection techniques to improve the performance of software quality clas...
135
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ICML
2003
IEEE
16 years 5 months ago
2003
IEEE
Feature selection, as a preprocessing step to machine learning, has been effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improvin...
127
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ECML
1998
Springer
15 years 8 months ago
1998
Springer
Feature selection is a problem of choosing a subset of relevant features. Researchers have been searching for optimal feature selection methods. `Branch and Bound' and Focus a...
122
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ICPR
2010
IEEE
15 years 7 months ago
2010
IEEE
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...