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The quick dynamic clustering method for mixed-type data
Authors:V. V. Ayuyev  A. Thura  N. N. Hlaing  M. B. Loginova
Affiliation:1. Kaluga Branch of Bauman Moscow State Technical University, Kaluga, Russia
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.
Keywords:
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