An indication of unification for different clustering approaches

Author:

Correa-Morris Jyrko

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference33 articles.

1. J. Kleinberg, An impossibility theorem for clustering, in: NIPS' 02: In proceedings of Advances in Neural Information Processing Systems, vol. 15, 2002.

2. Clusterability;Ackerman;Journal of Machine Learning Research-Proceedings Track,2009

3. G. Carlsson, F. Mémoli, Classifying Clustering Schemes, CoRR abs/1011.5270, 2010.

4. Cluster ensembles — a knowledge reuse framework for combining multiple partitions;Strehl;Journal of Machine Learning Research,2002

5. A comparison of extrinsic clustering evaluation metrics based on formal constraints;Amigó;Information Retrieval,2009

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