Fuzzy C-Means Clustering Algorithm 模糊C均值聚类算法 ; 模糊C ; 均值聚类方法 ; 法
Possibilistic C-Means Clustering Algorithm 均值聚类算法
Possibilistie C-Means Clustering Algorithm 均值聚类算法
fuzzy c-means clustering algorithm fcm 模糊c
fuzzy kernel C-means clustering algorithm 模糊核C
weighting fuzzy c-means clustering algorithm 加权模糊c均值聚类算法
Kernel-Based Fuzzy C-Means Clustering Algorithm 核函数模糊C均值聚类算法
An improved color segmentation algorithm is presented based on weighting fuzzy c-means (FCM) clustering algorithm.
在加权模糊c -均值(FCM)聚类算法的基础上，对分色算法进行了改进。
This paper proposes a modified fuzzy C-means (MFCM) clustering algorithm to cluster all images before retrieval.
论文采用了一种基于改进的模糊C均值算法来聚类图像。
The classical C-means clustering algorithm (CMA) is a well-known clustering method to partition an image into homogeneous regions.
经典的C -均值聚类算法（CMA）是将图像分割成C类的常用方法，但依赖于初始聚类中心的选择。
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