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The methods for variables selections which allows for optimal representation of objects group in the data are studied. Neural network based Boolean factor analysis is compared with two statistical methods - linear factor analysis and hierarchical clustering. It is shown that Boolean factor analysis is the best solution for binary data dimensionality reduction. Advantage of Boolean factor analysis...
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