Method And Application Of Factor Contour Similarity Analysis

In order to solve the problem of population evaluation and clustering analysis of multi factor data objects,based on the theory of factor operating system,and the difference and relation between the concept of data,factor of factor,and simplex are analyzed.According to the similarity analysis method of factor contour,the data dimension is reduced,combined with the theory of interval number ranking,the ranking model of multidimensional data sets is established.A new similarity measure and fast clustering algorithm based on fusion factor is proposed,And according to the UCI shared data set,a case study is carried out.Then,combining clustering analysis and Markov chain theory,a pattern recognition of annual rainfall time series is proposed.The research results show that the similarity analysis of the factor profiles can be applied to the problem of population dominance comparison,pattern recognition and so on,and it is simple and effective.