Modification of the K-means Method with an Unknown Number of Classes
AbstractThe 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
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Bibliographic InfoArticle provided by Publishing House "SINERGIA PRESS" in its journal Applied Econometrics.
Volume (Year): 4 (2006)
Issue (Month): 4 ()
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Web page: http://appliedeconometrics.cemi.rssi.ru/
cluster analysis; Mahalanobis metrics; k-means; normality of clusters; quality of life; Russia regions;
Find related papers by JEL classification:
- C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; 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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