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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Druckformat: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v28.i5-6.100
pages 77-83

The Use of Cluster Analysis for Partitioning Mixtures of Multidimensional Functional Characteristics of Complex Biomedical Systems

Evgen A. Nastenko
Bogomoletz Institute of Physiology, NAS of Ukraine, Kyiv, Ukraine

ABSTRAKT

A cluster-analysis method with constant cluster inertia is proposed. Its effectiveness for partitioning mixtures of functional characteristics of complex biomedical systems is demonstrated. The families of characteristics can be either trivial or nontrivial.


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