Integrating Class Information and Features in Cluster Analysis Based on Evolutionary Distance Metric Learning-Reference-Cited by-同舟云学术

Integrating Class Information and Features in Cluster Analysis Based on Evolutionary Distance Metric Learning

Published:2016-11-09 Issue: Volume: Page:165-181
ISSN:2363-6084
Container-title:Proceedings in Adaptation, Learning and Optimization
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Author:

Kalintha Wasin,Ono Satoshi,Numao Masayuki,Fukui Ken-ichi

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-49049-6_12

Reference22 articles.

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3. Beeferman, D., Berger, A.: Agglomerative clustering of a search engine query log. In: Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. pp. 407–416 (2000)

4. Bian, W., Tao, D.: Learning a distance metric by empirical loss minimization. In: Proc. International Joint Conference on Artificial Intelligence (IJCAI-11). pp. 1186–1191 (2011)

5. Bilenko, M., Basu, S., Mooney, R.J.: Integrating constraints and metric learning in semi-supervised clustering. In: Proc. of the 21st International Conference on Machine Learning. pp. 81–88. ACM (2004)

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