Sridhar, V and Murty, Narasimha M (1991) Clustering Algorithms for Library Comparison. In: Pattern Recognition, 24 (9). pp. 815-823.
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Database comparison is an important area of research. Comparison of databases is at two levels: data level and structure level. In this paper, we investigate the applicability of the conventional clustering algorithms for the purposes of database comparison at both the data level and the structure level. We propose a knowledge-based clustering approach for structure level comparison. The above algorithms have been implemented in LISP and are used for the comparison of library databases.
|Item Type:||Journal Article|
|Additional Information:||The copyright for this article belongs to lsevier.|
|Keywords:||Conventional clustering;Knowledge-based clustering; Comparison of databases;Library database|
|Department/Centre:||Division of Electrical Sciences > Computer Science & Automation (Formerly, School of Automation)|
|Date Deposited:||02 Nov 2006|
|Last Modified:||19 Sep 2010 04:31|
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