Feature Weighting and Feature Selection in Fuzzy Clustering

被引：7
|
作者：
Borgelt, Christian [1 ]
机构：
[1] European Ctr Soft Comp, Mieres 33600, Asturias, Spain
来源：
2008 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5 | 2008年
关键词：
D O I：
10.1109/FUZZY.2008.4630468
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper studies the problem of weighting and selecting attributes and principal axes in fuzzy clustering. Its main contribution is a selection method that is not based on simply applying a threshold to computed feature weights, but directly assigns zero weights to features that are not informative enough. This has the important advantage that the clustering result that can be obtained on the selected subspace coincides with the projection (to the selected subspace) of the clustering result that is obtained on the full data space.
引用
收藏
页码：838 / 844
页数：7
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