Sridhar, V and Murty, Narasimha M (1991) A knowledge-based clustering algorithm. In: Pattern Recognition Letters, 12 (9). pp. 511-517.
Restricted to Registered users only
Download (475Kb) | Request a copy
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.
|Item Type:||Journal Article|
|Additional Information:||Copyright of this article belongs to Elsevier B.V.|
|Keywords:||Order-independence; incremental clustering algorithm; knowledge-based clustering; knowledge base.|
|Department/Centre:||Division of Electrical Sciences > Computer Science & Automation (Formerly, School of Automation)|
|Date Deposited:||11 Mar 2008|
|Last Modified:||19 Sep 2010 04:43|
Actions (login required)