Similarity for Binary Data Based on the Value of Entropy and Structure Patterns Categories

Similarity for Binary Data Based on the Value of Entropy and Structure Patterns Categories

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Similarity of two objects that have a form of binary data, usually calculated based on the frequencies in thecontingency Western Felt table that includes all discrete random variables.In this article we will discuss the similaritymeasures for binary data based on entropy values and structural Throw Pillow patterns of the two object categories.Measuringsimilarity based on the value of entropy and structural pattern of categories can be used as a validation measureof similarity for binary data.