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.

引用

页码：511 / 517

页数：7

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