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


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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.

作者简介

Yu. Popkov

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

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Email: popkov.yuri@gmail.com
俄罗斯联邦, Moscow, 117312; Karmiel

A. Popkov

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

Email: popkov.yuri@gmail.com
俄罗斯联邦, Moscow, 117312

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