CLASSIFICATION OF REGIONS BY STATISTICAL INDICATORS OF THE HOUSING MARKET

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Authors:  Kadyrov Abdurakhmon Lakimovich - Doctor of Economics, Professor of the Department of Economics and Marketing of the State Educational Institution "Khujand State University named after academician Bobojon Gafurov".

 

JOURNAL NUMBER: 2(65). YEAR OF ISSUE2023. LANGUAGE OF THE ARTICLE: Tajik

 

ANNOTATION 

The article sets the task of classifying regions according to the state of the housing sector. Statistical information on the significance of the main housing indicators in the regions is used to conduct such an analysis. The classification problem is solved by cluster analysis methods as agglomerative and K-means method. Comparing the classification results, it is concluded that the best partition is the classification carried out by the K-means method using the Mahalanobis distance.

 

KEY WORDS

 сlassification, cluster analysis, housing sector, fuchsia quality, statistics.