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In this paper, the national 54 high-tech industrial parks' main economic indicators and their cities' GDP are analyzed respectively with clustering analysis. It is found that there is a certain degree of correlation between them. To reveal the inner relationship, analyzing the high-tech industrial parks' production and the cities' GDP are carried on with correlation analysis. It is showed that there...
With data mining becoming more and more important in many research area, cluster analysis has played an important role in geoscience application domain. Though the range of clustering algorithms that have been developed is broad, this paper will classify them according the broad approach or method adopted by each: a partitioning method, a hierarchical method, a density-based method, a grid-based method,...
In this paper, the consumption structure data of urban residents are selected from 31 administrative areas (including provinces, cities and autonomous regions) in China during the period of 2001 to 2007. Then, software SPSS16.0 is adopted to make analysis of factor, clustering and discriminant. Through the comparative analysis between Inner Mongolia region and the developed eastern provinces, we find...
This paper discusses the theory and algorithmic design of the CADD (clustering algorithm based on object density and direction) algorithm. This algorithm seeks to harness the respective advantages of the k-means and DENCLUE algorithms. Clustering results are illustrated using both a simple data set and one from the geological domain. Results indicate that CADD is robust in that automatically determines...
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