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- W81388460 abstract "In data mining, the pairwise comparisons of objects are often used instead of initial features measuring. If initial features are not presented, the correct immersion of a set in some metric space is possible only for a nonnegatively definite matrix of pairwise similarities to each other of the set elements. In this case, similarities are scalar products. Here it is proposed to adjust the violated metrics by minimal corrections of the matrix elements based on the optimal permutation of rows and columns of the matrix." @default.
- W81388460 created "2016-06-24" @default.
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- W81388460 date "2013-01-01" @default.
- W81388460 modified "2023-09-23" @default.
- W81388460 title "О локализации отрицательных собственных значений в матрицах парных сравнений" @default.
- W81388460 hasPublicationYear "2013" @default.
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