期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：67
期号：1
出版社：Journal of Theoretical and Applied
摘要：A decade back, Dynamic Time Warping (DTW) was establishing into Data Mining neighborhood as effectiveness for different responsibilities for moments sequence evils including categorization, group, and variance discovery. The method has flourished, chiefly in the last three years, and has been useful to a multiplicity of troubles in a variety of authority. In this paper, distant intellect clustering methods that make use of a solitary position iterative modified fuzzy C-means grouping algorithm is projected based leading the preceding in sequence. This technique is able to work out the fuzzy C-means algorithm's difficulty to the clustering worth is really reproduction by the data issue and the stochastic initializing the middle of clustering. Experimental results make obvious that the Modified FCM advance create better clusters than FCM clustering algorithms.
