Advanced data preprocessing using fuzzy clustering techniques

被引：9
|
作者：
Genther, H
Glesner, M
机构：
[1] Darmstadt University of Technology, Institute of Microelectronic Systems, 64283 Darmstadt
来源：
FUZZY SETS AND SYSTEMS | 1997年 / 85卷 / 02期
关键词：
fuzzy logic; pattern recognition; data preprocessing; cluster analysis;
D O I：
10.1016/0165-0114(95)00358-4
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper we describe a method of advanced data preprocessing for pattern classification using a fuzzy classification system (FCS). Input pattern vectors are transformed using a matrix before classification to improve classification results and to simplify the FCS. The transformation matrix is calculated using the prototypes obtained with fuzzy clustering methods. The data preprocessed in this way are often classifiable more easily than the original data. Results obtained with the new method using artificially created data and the well-known Iris data set are presented.
引用
收藏
页码：155 / 164
页数：10
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