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According to the field data of surface water quality from Beijing Water Authority, this paper demonstrates a case study on how to utilize principle factor analysis and hierarchical cluster analysis to extract a limited number of principal factors that can best describe the original data and to identify the patterns of surface water quality pollution. 10 auto-monitoring sites dispense in Beijing are...
It is believed that producer services are important to regional economic growth. The rise of producer services in the Yangtze Delta Area has exerted incremental impact on regional economy and its spatial structure. This paper uses all-round factor analysis and hierarchical cluster analysis to investigate spatial layout of producer services, the main arguments are: i) Cities of the Yangtze River Delta...
Agricultural modernization plays an important role in agricultural socioeconomic development. Three multivariate statistical methods, hierarchical cluster analysis (HCA), factor analysis (FA) and discriminant analysis (DA) were applied to a subgroup of the dataset to evaluate their usefulness to classify agricultural modernization in Zhejiang, and to identify agricultural modernization hidden patterns...
This paper provides a methodology to rank competing entities in terms of their overall performance. Similarities of the entities are used for ranking. The methodology is composed of three stages. Initially, the data is standardized. Secondly, hierarchical cluster analysis is conducted to capture the similarities among the entities. Then a linear programming model is run for final rankings. Furthermore...
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