Fuzzy clustering of semantic spaces

被引：2
|
作者：
Martínez-Trinidad, JF
Ruiz-Shulcloper, J
机构：
[1] Inst Politecn Nacl, Ctr Invest Computac, Lab Proc Digital Imagenes, Mexico City 07738, DF, Mexico
[2] CITMA, Inst Cibernet Matemat & Fis, La Habana 10400, Cuba
来源：
PATTERN RECOGNITION | 2001年 / 34卷 / 04期
关键词：
information retrieval; fuzzy clustering; index terms; fuzzy relations; semantic association measure; logical combinatorial pattern recognition;
D O I：
10.1016/S0031-3203(00)00030-3
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper the GK* model for the construction of thesaurus classes based on fuzzy semantic association measure between index terms and concepts (thesaurus classes) is presented. The association measure is obtained on the basis of fuzzy semantic relations between index terms, and it is used to cluster index terms into concepts. A hierarchical algorithm is introduced which runs on a simple numerical example. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
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页码：783 / 793
页数：11
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