Fuzzy-C-Means

基本解释

Firstly,a modified fuzzy C means method is used on the RGB color space to identify senile plaques and neurofibrillary tangles in microscopic image of the hippocampus separately.
利用改进的模糊C均值算法对彩色图像的颜色信息进行聚类,分别提取了老年斑和神经元纤维缠结目标。
Fuzzy C means clustering is introduced to fuzzify the continuous attribute,and the best minute class number is obtained by the valid analysis of clustering.
引入模糊C均值聚类算法进行连续属性模糊化,通过聚类有效性分析来确定最佳分类数目,克服了属性模糊化方法需要人为确定划分类数的缺点。
A novel model of fuzzy clustering, i. e. an allied fuzzy c means (AFCM) model is proposed based on the combination of advantages of fuzzy c-means (FCM) and possibilistic c-means (PCM) clustering.
摘要提出一种新的结合了模糊c-均值聚类(FCM)算法和可能性c-均值聚类(PCM)算法优点的联合模糊c-均值聚类(AFCM)算法。
fuzzy C means clustering algorithm
模糊C均值聚类算法
kernel fuzzy C means clustering
模糊C_均值聚类