Spherical Classification of Data, a New Rule-Based Learning Method-Reference-Cited by-同舟云学术

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Spherical Classification of Data, a New Rule-Based Learning Method

Published:2020-02-18 Issue:1 Volume:38 Page:44-71
ISSN:0176-4268
Container-title:Journal of Classification
language:en
Short-container-title:J Classif

Author:

Ma Zhengyu,Ryoo Hong Seo^ORCID

Publisher

Springer Science and Business Media LLC

Subject

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

Link

https://link.springer.com/content/pdf/10.1007/s00357-019-09355-z.pdf

Reference51 articles.

1. Aha, D., Kibler, D., Albert, M. (1991). Instance-based learning. Machine Learning, 6(1), 37–66.

2. Alexe, G., & Hammer, P.L. (2006a). Spanned patterns for the logical analysis of data. Discrete Mathematics, 154(7), 1039–1049.

3. Alexe, S., & Hammer, P.L. (2006b). Accelerated algorithm for pattern detection in logical analysis of data. Discrete Mathematics, 154(7), 1050–1063.

4. Alexe, G., Alexe, S., Bonates, T., Kogan, A. (2007). Logical analysis of data – the vision of Peter L. Hammer. Annals of Mathematics and Artificial Intelligence, 49, 265–312.

5. Balcan, M. -F., Blum, A., Vempala, S. (2008). A discriminative framework for clustering via similarity functions. In Proceedings of the Fortieth ACM Symposium on Theory of Computing (pp. 671– 680).

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