Fuzzy Clustering Method Based on Improved Weighted Distance

As an essential data processing technology, cluster analysis has been widely used in various fields. In clustering, it is necessary to select appropriate measures evaluate the similarity data. this paper, firstly, a center selection method based on grey relational degree proposed solve problem of sensitivity initial selection. Secondly, combining advantages Euclidean distance, DTW and SPDTW weighted distance measurement three kinds reach proposed. Then, applied Fuzzy C-MeDOIDS C-means hybrid clustering technology. Numerical experiments are carried out with UCI datasets. The experimental results show that accuracy significantly improved by using paper. Besides, paper MUSIC INTO EMOTIONS YEAST algorithm can also achieve better effect when dealing practical problems.