Functional data clustering via hypothesis testing k-means-Reference-Cited by-同舟云学术

Functional data clustering via hypothesis testing k-means

Published:2018-03-16 Issue:2 Volume:34 Page:527-549
ISSN:0943-4062
Container-title:Computational Statistics
language:en
Short-container-title:Comput Stat

Author:

Zambom Adriano Zanin,Collazos Julian A. A.,Dias Ronaldo

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s00180-018-0808-9.pdf

Reference55 articles.

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5. Arthur D, Vassilvitskii S (2007) $$k$$ k -Means++: the advantages of careful seeding. In: Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, pp 1027–1035

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