An Introduction to Gamma-Convergence for Spectral Clustering-Reference-Cited by-同舟云学术

An Introduction to Gamma-Convergence for Spectral Clustering

Published:2017 Issue: Volume: Page:185-196
ISSN:0302-9743
Container-title:Discrete Geometry for Computer Imagery
language:
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Author:

Challa Aditya,Danda Sravan,Daya Sagar B. S.,Najman Laurent

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-319-66272-5_16

Reference26 articles.

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2. Arthur, D., Vassilvitskii, S.: k-means++: the advantages of careful seeding. In: Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 1027–1035. Society for Industrial and Applied Mathematics (2007)

3. Braides, A.: Gamma-convergence for Beginners, vol. 22. Clarendon Press (2002)

4. Challa, A., Danda, S., Daya Sagar, B.S., Najman, L.: Power spectral clustering. Technical report, Université Paris-Est, LIGM, ESIEE Paris (working paper). https://hal.archives-ouvertes.fr/hal-01516649/

5. Chowdhury, N., Murthy, C.: Minimal spanning tree based clustering technique: relationship with bayes classifier. Pattern Recogn. 30(11), 1919–1929 (1997)

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