Abstract:
The review of some metrics for the decision of classification and data clustering problems is given. Definitions and theorems are given. Questions of initial clusters allocation optimization are considered. Experiments on uniform placing clusters in a problem of the direct-sales representative are made.
Keywords:
metrics, data clustering, classification, initial clusters allocation, experiments.
Citation:
M. V. Khachumov, “Distances, metrics and data clustering”, Artificial Intelligence and Decision Making, 2012, no. 1, 81–89; Scientific and Technical Information Processing, 39:6 (2012), 310–316
\Bibitem{Kha12}
\by M.~V.~Khachumov
\paper Distances, metrics and data clustering
\jour Artificial Intelligence and Decision Making
\yr 2012
\issue 1
\pages 81--89
\mathnet{http://mi.mathnet.ru/iipr424}
\elib{https://elibrary.ru/item.asp?id=18931132}
\transl
\jour Scientific and Technical Information Processing
\yr 2012
\vol 39
\issue 6
\pages 310--316
\crossref{https://doi.org/10.3103/S0147688212060020}
Linking options:
https://www.mathnet.ru/eng/iipr424
https://www.mathnet.ru/eng/iipr/y2012/i1/p81
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