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- 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。
- 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 FCM算法
- fuzzy C means clustering algorithm 模糊C均值聚类算法
- Short-Term Load Forecasting Based on Hard-C Mean Clustering Algorithm and Support Vector Machine 基于硬C均值聚类算法和支持向量机的电力系统短期负荷预测
- K - means clustering algorithm K-means算法
- K means clustering algorithm K均值聚类算法
- This algorithm is similar to the Microsoft Clustering Algorithm. 该算法类似于Microsoft聚类分析算法。
- This paper presents a similarity-based grid clustering algorithm (SGCA). 摘要 提出了一种基于相似度的网格聚类算法（SGCA）。
- k--means clustering algorithms k-means聚类算法
- 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。
- The computer emulating result proved that this algorithm excel the LBG and fuzzy clustering algorithm. 仿真结果证明该算法大大优于LBG法[1]和模糊聚类法[5]
- A fast clustering algorithm based on hypersphere of the multidimensional space is presented. 摘要提出了一种基于多维空间超球体的快速聚类算法。
- LEACH is a typical clustering algorithm, in which clustering nodes play the leading role. LEACH算法是一种典型的分簇路由算法，簇头的选取直接影响到算法性能的优劣。
- Addressed with information theory,the approaches employ a clustering algorithm to modularize ontologies. 借助信息论的相关知识,将本体聚类成语义模块。
- 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 nearest neigbor clustering algorithm is used to train the RBF neural network. 利用具有在线能力的最近邻聚类学习算法，训练RBF神经网络。
- This paper presents a new data Clustering algorithm based on glowworm swarm optimization (GSO) algorithm. 本文提出了一个新的分群架构。运用此架构，我们可以使执行时间相较于原本的方法有大幅度的缩短。
- The paper presents an ant colony clustering algorithm based on directional similarity: ACCADS. 摘要提出了一种基于方向相似性度量的蚁群聚类算法。
- With the increase of mean cluster size(MCS)at different water activities, multi-layer sorption and capillary condensation occur, which lead to the diminution of diffusion coefficients in P... 结果显示,随着水蒸气活度的增加,膜内水分子簇尺寸增大,并在膜的微孔内产生多层吸附甚至毛细管冷凝,导致扩散系数迅速降低。
