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


  • Isakin , Maksim

    () (Higher School of Economics, Russia)


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

Suggested Citation

  • Isakin , Maksim, 2006. "Modification of the K-means Method with an Unknown Number of Classes," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 4(4), pages 62-73.
  • Handle: RePEc:ris:apltrx:0058

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    More about this item


    cluster analysis; Mahalanobis metrics; k-means; normality of clusters; quality of life; Russia regions;

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)


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