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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。
- 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;
- fuzzy C means clustering algorithm 模糊C均值聚类算法
- 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
- 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
- Prediction of Yield Trend for Winter Wheat by Fuzzy Cluster Method. 用模糊聚类法预报冬小麦产量趋势。
- fuzzy C mean clustering system 模糊C均值聚类系统
- So a clustering method based on SPA connection degree is brought forward. 提出了一种基于集对分析联系度的聚类方法。
- Pest insect community on orange leaves is analyzed with fuzzy cluster method. 经模糊聚类分析表明，柑桔叶片害虫群落由3个集群和3个边缘种组成。
- 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。
- On the basis of a evolving clustering method (ECM), a new modeling approach of T-S type dynamic fuzzy inference model is proposed. 摘要以一种进化聚类算法(ECM)为基础，提出了一种新的T-S型动态模糊推理模型的建模算法。
- 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。
- M. S. Yang, K. L. Wu, A Similarity-Based Robust Clustering Method, IEEE Trans. PAMI 26 (4) (2004). 陈源奇（民94）。相似性分类演算法的应用。中原大学应用数学系硕士。论文。
- Water envoromental quality of Qitaihe city was evaluated by using grey clustering method. 采用灰色聚类法对七台河市水环境质量进行评价。
- This is an image filter functions are realized, the main application is clustering method. 这是一个图像过滤功能的实现，主要应用的是聚类方法。
- The indefinite clustering method is convenient for atmosphere environment quality evaluation. 因此,运用模糊聚类理论对上海市近一年的各个月份的大气环境作了评价。
- 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。
