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Regular version of the site

Article

Entropy “2”-Soft Classification of Objects

Entropy. 2017. Vol. 19(4). No. 178. P. 1-14.
Popkov Y., Dubnov Y. A., Volkovich Z., Avros R., Ravve E.

A proposal for a new method of classification of objects of various nature, named “2”-soft classification, which allows for referring objects to one of two types with optimal entropy probability for available collection of learning data with consideration of additive errors therein. A decision rule of randomized parameters and probability density function (PDF) is formed, which is determined by the solution of the problem of the functional entropy linear programming. A procedure for “2”-soft classification is developed, consisting of the computer simulation of the randomized decision rule with optimal entropy PDF parameters. Examples are provided.