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Updated: Apr 22, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
Published on: February 15, 2017
A weighted clustering of population pyramids for the world's countries, 1996, 2001, 2006
Simona Korenjak-Černe1, Nataša Kejžar, Vladimir Batagelj
1a University of Ljubljana.
Abstract:
This paper presents clusters of the world's countries obtained by a novel weighted clustering method. The approach is based on data representations with symbolic descriptions of age-sex structures. To obtain clusters with similar descriptions, a weighted clustering method is used which is suitable for data described with discrete distributions. In contrast to the classical approach, this method allows the population of each sex to be included in the clustering process, thereby obtaining a representative age-sex structure corresponding to all the countries contained in the cluster. Observing the data over time reveals clusters of countries with similar changes in their population age-sex distributions. The resulting population pyramids are presented for 1996, 2001, and 2006.
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