Graph-based Clustering Algorithms – A Review on Novel Approaches

Author:

Hloch Mark,Kubek Mario,Unger Herwig

Publisher

ASTES Journal

Subject

Management of Technology and Innovation,Physics and Astronomy (miscellaneous),Engineering (miscellaneous)

Reference28 articles.

1. V. Estivill-Castro, "Why So Many Clustering Algorithms: A Position Paper," SIGKDD Explor. Newsl., 4(1), 65-75, 2002, doi:10.1145/568574.568575.

2. J. MacQueen, "Some methods for classification and analysis of multivariate observations," in Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Volume 1: Statistics, 281-297, University of California Press, Berkeley, Calif., 1967.

3. D. Arthur, S. Vassilvitskii, "K-means++: The Advantages of Careful Seeding," in Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA '07, 1027-1035, Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, 2007.

4. N. S. Altman, "An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression," The American Statistician, 46(3), 175-185, 1992, doi: 10.1080/00031305.1992.10475879.

5. C. Biemann, "Chinese Whispers: An Efficient Graph Clustering Algorithm and Its Application to Natural Language Processing Problems," in Proceedings of the First Workshop on Graph Based Methods for Natural Language Processing, TextGraphs-1, 73-80, Association for Computational Linguistics, Stroudsburg, PA, USA, 2006.

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