Fuzzy c-means (FCM) is a method of clustering which allows one piece of data to belong to two or more clusters. This method (developed byDunn in 1973and improved byBezdek in 1981) is frequently used in pattern recognition. It is based on minimization of the following objective function: ,...
令X={x1,x2,⋯,xn}为含有至少c<n个空间分布较远点的数据样本点集,FCM的代价函数定义为: 其中m>1 为模糊加权指数,U=[uij]c×n为 c 个聚类中心vi相对于 n 个样本数据点xj的隶属度矩阵,dij为欧氏距离。 引入拉格朗日乘子,把原带约束的优化问题转化为无约束的优化问题。
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]...
Fuzzy c-means (FCM) is a method of clustering which allows one piece of data to belong to two or more clusters. This method (developed by Dunn in 1973 and improved by Bezdek in 1981) is frequently used in pattern recognition. It is based on minimization of the following objective function...
Fuzzy C-Means Clustering Definition Clustering is a classical data mining method applied on a set of items to group like items, thus separating unlike items. Most clustering algorithms give a definite mapping of an item to a cluster, referred to ashard clustering. But in real world, an item...
A multivariate fuzzy c-means method 2013, Applied Soft Computing Journal Citation Excerpt : Chen et al. has studied the application of fuzzy methods [24–28]. Tang et al. [29] proposed a new kind of data weighted fuzzy c-means clustering approach. Mei and Chen [30] characterized each clu...
fuzzy clustering谷歌地圖定位通常透過全球定位系統(GPS)得知當下的座標位置,但準確誤差率大概是3~5公尺,而GPS有訊號穿透不足的問題,當雲層比較厚時,或是定位的地點有較大的遮蔽物,定位效果就會較差且定位的時間也會比較長,若是進到室內或是隧道,GPS就無用武之地了,不少文獻中已經有探討使用WiFi來做定位的可行性...
模糊C均值聚类算法;对应分析;加权FCM算法;模糊隶属度矩阵;类间分离度;类内紧缩度 中图分类号 TP181 文献标志码 A 文章编号 1671—4512(2012)02—0107—05 Studyofmulti--prototypefuzzyC-。meansclustering algorithmusingc0rresp0ndenceanalysis ZengShan TongXiaojun SangNong LiRongye。 (1InstituteforPatternRecogni...