IDEAS home Printed from
   My bibliography  Save this article

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

    Download full text from publisher

    File URL:
    File Function: Full text
    Download Restriction: no

    References listed on IDEAS

    1. M. Sirgy & Alex Michalos & Abbott Ferriss & Richard Easterlin & Donald Patrick & William Pavot, 2006. "The Qualityity-of-Life (QOL) Research Movement: Past, Present, and Future," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 76(3), pages 343-466, May.
    2. Osberg, L. & Sharpe, A., 1998. "An Index of Economic Well-being for Canada," Department of Economics at Dalhousie University working papers archive 98-08, Dalhousie, Department of Economics.
    3. Jones, William O. & Merat, Christian, 1962. "Consumption of Exotic Consumer Goods as an Indicator of Economic Achievement in Ten Countries of Tropical Africa," Food Research Institute Studies, Stanford University, Food Research Institute, issue 01.
    4. Simon Kuznets, 1946. "National Income: A Summary of Findings," NBER Books, National Bureau of Economic Research, Inc, number kuzn46-2, January.
    5. Aivazian, Sergei & Stepanov, Vladimir & Kozlova, Maria, 2006. "Measuring the Synthetic Categories of Quality of Life in a Region and Identification of Main Trends to Improve the Social and Economic Policy (Samara Region and its Constituent Territories)," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 2(2), pages 18-84.
    Full references (including those not matched with items on IDEAS)

    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)


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:apltrx:0058. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Anatoly Peresetsky). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.