KNOWLEDGE BASED APPROACH TO CLUSTER ALGORITHM SELECTION

被引：1
|
作者：
BALASUBRAMANIAM, A
PARTHASARATHY, G
CHATTERJI, BN
机构：
[1] INDIAN INST TECHNOL,DEPT ELECTR & ELECT COMMUN ENGN,KHARAGPUR 721302,W BENGAL,INDIA
[2] ANNA UNIV,COLL ENGN,DEPT COMP SCI & ENGN,MADRAS 600025,INDIA
来源：
PATTERN RECOGNITION LETTERS | 1990年 / 11卷 / 10期
关键词：
Fisher and Van Ness admissibility conditions; interactive cluster analysis; Knowledge based system; unsupervised classification;
D O I：
10.1016/0167-8655(90)90098-M
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 presents an interactive knowledge based approach to selection of a cluster algorithm well suited to any given data situation. The results of experimentation with four synthetic data sets and a natural data set are quite encouraging. © 1990.
引用
收藏
页码：651 / 661
页数：11
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