A KNOWLEDGE-BASED CLUSTERING-ALGORITHM

被引：5
|
作者：
SRIDHAR, V
MURTY, MN
机构：
[1] Department of Computer Science and Automation, Indian Institute of Science, Bangalore
来源：
PATTERN RECOGNITION LETTERS | 1991年 / 12卷 / 09期
关键词：
ORDER-INDEPENDENCE; INCREMENTAL CLUSTERING ALGORITHM; KNOWLEDGE-BASED CLUSTERING; KNOWLEDGE BASE;
D O I：
10.1016/0167-8655(91)90080-6
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We describe a clustering technique that can exploit a large body of knowledge. An algorithm to cluster input objects, using the knowledge available, is presented. This algorithm is order-independent and can be naturally extended to cluster objects in an incremental way. The usefulness of the knowledge-based clustering algorithm is studied in the context of a database.
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页码：511 / 517
页数：7
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