Agglomerative Hierarchical Clustering with Constraints: Theoretical and Empirical Results

Author:

Davidson Ian,Ravi S. S.

Publisher

Springer Berlin Heidelberg

Reference16 articles.

1. Basu, S., Banerjee, A., Mooney, R.: Semi-supervised Clustering by Seeding. In: 19 th ICML (2002)

2. Basu, S., Bilenko, M., Mooney, R.J.: Active Semi-Supervision for Pairwise Constrained Clustering. 4 th SIAM Data Mining Conf. (2004)

3. Bradley, P., Fayyad, U., Reina, C.: Scaling Clustering Algorithms to Large Databases. In: 4 th ACM KDD Conference (1998)

4. Davidson, I., Ravi, S.S.: Clustering with Constraints: Feasibility Issues and the k-Means Algorithm. In: SIAM International Conference on Data Mining (2005)

5. Davidson, I., Ravi, S.S.: Towards Efficient and Improved Hierarchical Clustering with Instance and Cluster-Level Constraints. Tech. Report, CS Department, SUNY - Albany (2005), Available from www.cs.albany.edu/~davidson

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