On Strategies to Fix Degenerate k-means Solutions-Reference-Cited by-同舟云学术

On Strategies to Fix Degenerate k-means Solutions

Published:2017-06-10 Issue:2 Volume:34 Page:165-190
ISSN:0176-4268
Container-title:Journal of Classification
language:en
Short-container-title:J Classif

Author:

Aloise Daniel,Damasceno Nielsen Castelo,Mladenović Nenad,Pinheiro Daniel Nobre

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Psychology (miscellaneous),Mathematics (miscellaneous)

Link

http://link.springer.com/article/10.1007/s00357-017-9231-0/fulltext.html

Reference35 articles.

1. ALOISE, D., DESHPANDE, A., HANSEN, P., and POPAT, P. (2009), “NP-Hardness of Euclidean Sum-of-Squares Clustering”, Machine Learning, 75, 245–249.

2. ALOISE, D., HANSEN, P., and LIBERTI, L. (2012), “An Improved Column Generation Algorithm for Minimum Sum-of-Squares Clustering”, Mathematical Programming, 131(1-2), 195–220.

3. ARTHUR, D., and VASSILVITSKII, S. (2007). “K-means++: The Advantages of Careful Seeding”, In 2007 ACM-SIAM Symposium on Discrete Algorithms (SODA’07), pp. 1027–1035.

4. BLANCHARD, S.J., ALOISE, D., and DESARBO, W.S. (2012), “The Heterogeneous PMedian Problem for Categorization Based Clustering”, Psychometrika, 77(4), 741–762.

5. BRADLEY, P.S., and FAYYAD, U.M. (1998), “Refining Initial Points for k-Means Clustering”, in International Conference on Machine Learning (ICML), Vol. 98, pp. 91–99.

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