A convergence theorem for the fuzzy c-means clustering algorithms IEEE Trans. PAMI (1980) J.C. Bezdek Pattern recognition with fuzzy objective function algorithms J.C. Bezdek et al. Fuzzy clustering: a new approach for geostatistical analysis Int. Jour. Sys., Meas., and Decisions (1982) Ther...
Fuzzy c-means algorithmLocal optimalityFuzzy clustering algorithmsFuzzy unsupervised classificationFuzzy isodata algorithmIn this paper, the solutions produced by the fuzzy c-means algorithm for a general class of problems are examined and a method to test for the local optimality of such solutions is ...
Using GA for Optimization of the fuzzy C-means clustering algorithm. Mohanad A,Mohammad M,Abdullah R. Research Journal of Applied Sciences,Engineering and Technology . 2013Mohanad A;Mohammad M;Abdullah R.Using GA for Optimization of the fuzzy C-means clustering algorithm.Research Journal of Applied...
改进的模糊C均值法在负荷特性统计数据聚类中的应用毕业论文 基于马氏距离和模糊c均值聚类的抠图算法与应用matting algorithm and application based on mahalanobis distance and the fuzzy c-means clustering algorithm 【免费】-》模糊C均值聚类算法的并行化研究 基于模糊C均值聚类分析的青岛无水港选址研究---可复制黏贴...
关键词摇图像抠图;马氏距离;模糊C均值聚类;填洞 分类号摇TP391 MattingalgorithmandapplicationbasedonMahalanobisdistanceandthefuzzy C鄄meansclusteringalgorithm ZHANGMin 1) ,MINLe鄄quan 1,2) ,ZHANGQun 2) ,LIUSa 3)苣 1)SchoolofMathematicsandPhysics,UniversityofScienceandTechnologyBeijing,Beijing100083,China ...
[translate] a安装纱窗,通风良好 The installment screen window, ventilates good [translate] aFuzzy C-means clustering algorithm is a local search algorithm, and it is very sensitive to the initial value. 模糊C意味使成群的算法是一个地方搜索算法,并且它对原始价值是非常敏感的。 [translate] ...
最广泛使用的模糊聚类算法之一是thefuzzy C均值算法(bezdek1981),这是thek-means聚类算法的直接推广。与fuzzyc均值,群集,CJ的质心 翻译结果2复制译文编辑译文朗读译文返回顶部 其中一个最广泛使用模糊群集算法thefuzzy C意味着算法[bezdek1981],这是一个泛化的泰克直接意味着群集算法。 与fuzzyc-意味着该中心...
Lu Y, Ma T, Yin C, Xie X, Tian W, Zhong S (2013) Implementation of the Fuzzy C-Means Clustering Algorithm in Meteorological Data. Int J Database Theory Appl 6(6):1–18 Article Google Scholar Maimon O, Rokach L (2010) Data Mining and Knowledge Discovery Handbook, 2nd Edn. Springer...
fuzzyC-means algorithm for big document data clustering. The algorithm is extensively experimented with using different sizes of document datasets and executed over the Hadoop cluster of different sizes. The proposed algorithm’s efficiency is compared against serial traditional fuzzyC-means and Map...
Fuzzy clusteringFuzzyc-meansReconstructionCluster validity indexInformation criterionWe propose an internal cluster validity index for a fuzzyc-means algorithm which combines a mathematical model for the fuzzyc-partition and a heuristic search for the number of clusters in the data. Our index resorts ...