Modification of the K-means Method with an Unknown Number of Classes

Maksim Isakin

Applied Econometrics, 2006, vol. 4, issue 4, 62-73

Abstract: The classification procedure based on the K-means method with an unknown number of classes first proposed by professor Sergey Aivazian is designed and investigated in the article. The adaptive Mahalanobis metrics and dynamically computed measures of observation anomaly and class homogeneity are used in the paper. The classification of regions of The Russian Federation according to quality of life integral characteristics is obtained. Finally a brief interpretation of the results is given

Keywords: cluster analysis; Mahalanobis metrics; k-means; normality of clusters; quality of life; Russia regions (search for similar items in EconPapers)
JEL-codes: C38 R12 (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:ris:apltrx:0058

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