A New Nonhierarchical Clustering Procedure for Symbolic Objects

Authors:
T. V. Ravi;K. Chidananda Gowda
Affiliations:
-;-
Venue:
IDEAL '00 Proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, Data Mining, Financial Engineering, and Intelligent Agents
Year:
2000

Citing 6
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IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1

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Abstract

A new nonhierarchical clustering procedure for symbolic objects is presented wherein during the first stage of the algorithm, the initial seed points are selected using the concept of farthest neighbours, and in suceeding stages the seed points are computed iteratively until the seed points get stabilised.