National Youth Natural Science Foundationof China(No.61806006);Innovation Program for Graduate of Jiangsu Province(No.KYLX160-781);Project Supported by Jiangsu University Superior Discipline Construction Project。
The K-multiple-means(KMM)retains the simple and efficient advantages of the K-means algorithm by setting multiple subclasses,and improves its effect on non-convex data sets.And aiming at the problem that it cannot be ...