Economic Regionalization based on Order-preserving Submatrix

Abstract

In the paper, We compared the classical K-means clustering algorithm, the fuzzy clustering with the Order-Preserving Submatrix(OPSM) biclustering algorithm on the dataset of regional fiscal revenue which is collected from the National Statistical Yearbook. The experimental results proves that the OPSM biclustering algorithm could get more interesting results than the classical K-means algorithm and the fuzzy clustering algorithm, which shows more detailed information than the latter either.