The quick dynamic clustering method for mixed-type data

The quick dynamic clustering method for mixed-type data

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Article ID: iaor2013128
Volume: 73
Issue: 12
Start Page Number: 2083
End Page Number: 2088
Publication Date: Dec 2012
Journal: Automation and Remote Control
Authors: , , ,
Keywords: clustering, big data
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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