Partial Mutual Information for Classification of Gene Expression Data by Learning Vector Quantization-Reference-Cited by-同舟云学术

Partial Mutual Information for Classification of Gene Expression Data by Learning Vector Quantization

Published:2014 Issue: Volume: Page:259-269
ISSN:2194-5357
Container-title:Advances in Self-Organizing Maps and Learning Vector Quantization
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Author:

Lange Mandy,Nebel David,Villmann Thomas

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-07695-9_25

Reference50 articles.

1. Biehl, M., Hammer, B., Villmann, T.: Distance measures for prototype based classification. In: Petkov, N. (ed.) Proceedings of the International Workshop on Brain-Inspired Computing 2013, Cetraro, Italy. Springer (2014)

2. Bodenhofer, U., Klawonn, F.: Robust rank correlation coeffcients on the basis of fuzzy orderings: Initial steps. Mathware & Soft Computing 15, 5–20 (2008)

3. Lecture Notes in Artificial Intelligence;S. Chelloug,2006

4. Chiaromonte, F., Martinelli, J.: Dimension reduction strategies for analyzing global gene expression data with a response. Mathematical Biosciences 176, 123–144 (2002)

5. Cichocki, A., Zdunek, R., Phan, A., Amari, S.-I.: Nonnegative Matrix and Tensor Factorizations. Wiley, Chichester (2009)

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