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fcm是模糊c均值聚类算法,确定聚类中心以后,通过循环迭代,确定最佳聚类中心-FCM is a fuzzy c means clustering algorithm to determine the cluster center, the adoption cycle of iteration, to determine the optimal cluster center
Date : 2025-12-31 Size : 6kb User : zhourl

FCM算法是一种基于划分的聚类算法,它的思想就是使得被划分到同一簇的对象之间相似度最大,而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进,普通C均值算法对于数据的划分是硬性的,而FCM则是一种柔性的模糊划分。在介绍FCM具体算法之前我们先介绍一些模糊集合的基本知识。-FCM algorithm is a clustering algorithm based on the division of its thinking is that it is making is divided into clusters with the greatest similarity between the object, and different similarity between the smallest cluster. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for data delineation is rigid, while the FCM is a soft fuzzy partition. FCM in the introduction prior to the specific algorithm we first introduce some basic knowledge of fuzzy sets.
Date : 2025-12-31 Size : 1.63mb User : zhourl
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