Constrained Learning Vector Quantization or Relaxed k-Separability-Reference-Cited by-同舟云学术

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Constrained Learning Vector Quantization or Relaxed k-Separability

Published:2009 Issue: Volume: Page:151-160
ISSN:0302-9743
Container-title:Artificial Neural Networks – ICANN 2009
language:
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Author:

Grochowski Marek,Duch Włodzisław

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-04274-4_16

Reference19 articles.

1. Lecture Notes in Computer Science;W. Duch,2006

2. Bishop, C.M.: Pattern Recognition and Machine Learning. Springer, Heidelberg (2006)

3. Lecture Notes in Computer Science;M. Grochowski,2007

4. Schölkopf, B., Smola, A.: Learning with Kernels. In: Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press, Cambridge (2001)

5. Lecture Notes in Artificial Intelligence;M. Grochowski,2008

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1. Fast Projection Pursuit Based on Quality of Projected Clusters;Adaptive and Natural Computing Algorithms;2011

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