Entropy “2”-Soft Classification of Objects
AbstractA 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. View Full-Text
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Popkov, Y.S.; Volkovich, Z.; Dubnov, Y.A.; Avros, R.; Ravve, E. Entropy “2”-Soft Classification of Objects. Entropy 2017, 19, 178.
Popkov YS, Volkovich Z, Dubnov YA, Avros R, Ravve E. Entropy “2”-Soft Classification of Objects. Entropy. 2017; 19(4):178.Chicago/Turabian Style
Popkov, Yuri S.; Volkovich, Zeev; Dubnov, Yuri A.; Avros, Renata; Ravve, Elena. 2017. "Entropy “2”-Soft Classification of Objects." Entropy 19, no. 4: 178.
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