Cross-Entropy Optimal Dimensionality Reduction with a Condition on Information Capacity


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Abstract

For matrices with nonnegative elements, an updated method of dimensionality reduction based on cross-entropy optimization of projection matrices under the condition of maintaining the information capacity is proposed.

About the authors

Yu. S. Popkov

Federal Research Center “Computer Science and Control”, Russian Academy of Sciences; Department of Software Engineering, ORT Braude College

Author for correspondence.
Email: popkov.yuri@gmail.com
Russian Federation, Moscow, 117312; Karmiel

A. Yu. Popkov

Federal Research Center “Computer Science and Control”, Russian Academy of Sciences

Email: popkov.yuri@gmail.com
Russian Federation, Moscow, 117312

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