Fuzzy clustering with partial supervision

被引：249

作者：

Pedrycz, W ^{[1
]}

Waletzky, J ^{[1
]}

机构：

[1] MPR TELTECH LTD,BURNABY,BC V5A 4B5,CANADA

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | 1997年 / 27卷 / 05期

基金：

加拿大自然科学与工程研究理事会;

关键词：

complete and incomplete class assignment; fuzzy C-means; fuzzy clustering; FUZZY ISODATA; objective function; partial supervision; software reusability;

D O I：

10.1109/3477.623232

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Presented here is a problem of fuzzy clustering with partial supervision, i.e., unsupervised learning completed in the presence of some labeled patterns, The classification information is incorporated additively as a part of an objective function utilized in the standard FUZZY ISODATA, The algorithms proposed in the paper embrace two specific learning scenarios of complete and incomplete class assignment of the labeled patterns, Numerical examples including both synthetic and real-world data arising in the realm of software engineering are also provided.

引用

页码：787 / 795

页数：9

共 18 条

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