USING CLUSTER ANALYSIS AND TECHNIQUE OF RANDOM 5 FORESTS IN THE CLASSIFICATION OF COMMUNES IN POLAND 6 ON THE SCALE OF SOCIO-ECONOMIC DEVELOPMENT Cover Image

ZASTOSOWANIE ANALIZY SKUPIEŃ I LASÓW LOSOWYCH 2 W KLASYFIKACJI GMIN W POLSCE NA SKALI POZIOMU ROZWOJU SPOŁECZNO-GOSPODARCZEGO
USING CLUSTER ANALYSIS AND TECHNIQUE OF RANDOM 5 FORESTS IN THE CLASSIFICATION OF COMMUNES IN POLAND 6 ON THE SCALE OF SOCIO-ECONOMIC DEVELOPMENT

Author(s): Robert Perdał
Subject(s): National Economy, Economic development, Socio-Economic Research
Published by: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie
Keywords: cluster analysis; random forests; classification; communes; socio17 economic development;

Summary/Abstract: The article presents the algorithm of classification of communes 8 on the scale of socio-economic development level. The algorithm includes 9 four steps: (1) selection and reduction of variables, (2) construction 10 of a synthetic measure and linear ordering of communes on the scale of 11 socio-economic development level, (3) grouping of communes by cluster 12 analysis (k-means algorithm) based on the synthetic measure, (4) verification 13 of classification using the random forests method. As a result of the 14 classification procedure was identified the progressive divergence of socio15 economic development in Poland.

  • Issue Year: XIX/2018
  • Issue No: 3
  • Page Range: 263-273
  • Page Count: 11
  • Language: Polish