The quick dynamic clustering method for mixed-type data |
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Authors: | V. V. Ayuyev A. Thura N. N. Hlaing M. B. Loginova |
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Affiliation: | 1. Kaluga Branch of Bauman Moscow State Technical University, Kaluga, Russia
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Abstract: | This paper describes a new approach to high-dimensional mixed-type data clustering with missing values, which combines information on common nearest neighbors with classic between-vectors distances calculated by an original technique. The results are applied to form intersecting clusters for every missing value. |
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