SUGENO FUZZY MEASURE AND FUZZY CLUSTERING

被引：87

作者：

LESZCZYNSKI, K

PENCZEK, P

GROCHULSKI, W

机构：

[1] Univ of Warsaw, Medical Physics Lab,, Warsaw, Pol, Univ of Warsaw, Medical Physics Lab, Warsaw, Pol

来源：

FUZZY SETS AND SYSTEMS | 1985年 / 15卷 / 02期

关键词：

COMPUTER PROGRAMMING - Algorithms;

D O I：

10.1016/0165-0114(85)90043-0

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper discusses in detail some properties of Sugeno's g// lambda measure. A clustering algorithm making use of these properties is presented and its performance, when run on the well-known set of the iris data, is briefly described. The inherent advantages of the proposed approach are pointed out.

引用

页码：147 / 158

页数：12

共 8 条

[1] DISTINCTION BETWEEN SEVERAL SUBSETS OF FUZZY MEASURES
BANON, G
[J]. FUZZY SETS AND SYSTEMS, 1981, 5 (03) : 291 - 305
[2] OPTIMAL FUZZY PARTITIONS - HEURISTIC FOR ESTIMATING PARAMETERS IN A MIXTURE OF NORMAL DISTRIBUTIONS
BEZDEK, JC
DUNN, JC
[J]. IEEE TRANSACTIONS ON COMPUTERS, 1975, 24 (08) : 835 - 838
[3] Gustafson D., 1979, ADV FUZZY SET THEORY, P605
[4] HIERARCHICAL CLUSTERING SCHEMES
JOHNSON, SC
[J]. PSYCHOMETRIKA, 1967, 32 (03) : 241 - 254
[5] MEZZICH JE, 1980, TAXONOMY BEHAVIOURAL
[6] PAL SK, 1980, PATTERN RECOGN, V12, P27, DOI 10.1016/0031-3203(80)90051-5
[7] RUBIN J, 1967, CLUSTER ANAL TAXONOM
[8] SUGENO M, 1975, FUZZY SETS THEIR APP, P151

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