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- 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。
- 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
- fuzzy C means clustering 模糊C均值聚类
- Fuzzy C mean clustering FCM聚类
- fuzzy C mean clustering system 模糊C均值聚类系统
- 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 FCM算法
- 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。
- An improved fussy C mean clustering algorithm was used, in which the matrix of grade of membership was modified in order to speed up convergent velocity. 文中采用了改进的模糊C均值聚类算法,对隶属度矩阵进行了修正,加快了聚类的收敛速度;
- improved possibilistic C means clustering 改进型可能性C-均值聚类
- possibilistic c means clustering 可能性c-均值聚类
- fuzzy C - means clustering 模糊C-均值聚类
- Fuzzy C Means(FCM) 模糊C均值
- Fuzzy C means 模糊C均值
- Fuzzy K means clustering algorithm can segment white matter,gray matter and CSF better from the MR head images. 模糊K－ 均值聚类算法能很好地分割出磁共振颅脑图像中的灰质、白质和脑脊液。
- Kenerl Fuzzy C Means(KFCM) 核函数的模糊C均值算法
- fuzzy C mean 模糊C均值
- Genetic algorithm Fuzzy C Mean 遗传FCM
- fuzzy c Mean(FCM) 模糊C均值（FCM）
