fuzzy C-means clustering 均值聚类 ; 模糊c均值聚类 ; 聚类
Fuzzy C-Means Clustering Algorithm 模糊C均值聚类算法 ; 模糊C ; 均值聚类方法 ; 法
fuzzy K means clustering algorithm 模糊K均值聚类算法
fuzzy center-means clustering 均值聚类
fast fuzzy c-means clustering 快速模糊c均值聚类
Weighted fuzzy C-means clustering 加权模糊C
improved fuzzy C-means clustering 改进的模糊C
Attribute means clustering is more robust than fuzzy means clustering by theoretical analysis and numerical example.
通过理论分析，属性均值聚类是比模糊均值聚类更稳健的聚类方法。
An efficient segmentation method based upon fuzzy c-means (FCM) clustering principles is proposed. The approach utilizes a pyramid data structure for the hierarchical ana - lysis of color images.
这里提出了一种高效的基于模糊c均值(FCM)聚类的彩色图像分割方法，它利用塔形数据结构对彩色图像进行多层分割。
To improve the accuracy of text clustering, fuzzy c-means clustering based on topic concept sub-space (TCS2FCM) is introduced for classifying texts.
为了改善文本聚类的准确度，提出用基于主题概念子空间的模糊c -均值聚类(TCS2FCM)方法来分类文本。
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