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Updated: Aug 13, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
Published on: February 15, 2017
Clustering of provinces according to socio-economic variables
Abstract:
This study is concerned with the identification of provinces in Turkey with similar characteristics. The author suggests that "it is possible to form groups of observations in terms of the differences of values of a set of variables and order them according to their relative positions. In this study, using 45 variables derived from 1985 General Census, 18 provinces with first degree priority in development were clustered.... Provinces with high priority could be displayed more explicitly and efficient action could be taken to improve the conditions in those provinces." (SUMMARY IN TUR)
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