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Partial closure-based constrained clustering with order ranking

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2 Author(s)
Shaohong Zhang ; Dept. of Comput. Sci., City Univ. of Hong Kong, Hong Kong, China ; Hau-San Wong

In this paper we propose a new partial closure-based constrained clustering algorithm. We introduce closures into the partial constrained clustering and we propose a new measurement to order the importance of the constrained closures. Experiments on public datasets demonstrate the advantages of our algorithm over the standard Kmeans and two state-of-the-art constrained clustering algorithms.

Published in:

Pattern Recognition, 2008. ICPR 2008. 19th International Conference on

Date of Conference:

8-11 Dec. 2008

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