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fuzzy c-mean
- 一个FMEAN神经网络代码,是matlab开发的模糊聚类-FMEAN a neural network code is developed Matlab fuzzy clustering
C-mean
- 模糊C均值算法的m文件带自己的解释,希望能给大家一点学习上的帮助。 -fuzzy c-means algorithm m document with its own interpretation, in the hope of giving the public a little bit of learning assistance.
fuzzy_c_mean
- 用java 实现 fuzzy c mean 图像的聚类
FuzzyMathGraph
- 模糊数学的小工具 有点意思 还算可以 不过比较简陋-Fuzzy Math gadget can be a bit mean but still relatively simple
kmeans
- 基于C++的模糊k均值算法,采用的集成软件开发环境为vc-It is the codes of Fuzzy k-means,
jiyutezhengronghehemohuhepanbian
- 提出了基于特征融合和模糊核判别分析(FKDA)的面部表情识别方法。首先,从每幅人脸图像中手工定 位34个基准点,作为面部表情图像的几何特征,同时采用Gabor小波变换方法对每幅表情图像进行变换,并提取基 准点处的Gabor小波系数值作为表情图像的Gabor特征;其次,利用典型相关分析技术对几何特征和Gabor特征进 行特征融合,作为表情识别的输人特征;然后,利用模糊核判别分析方法进一步提取表情的鉴别特征;最后,采用最 近邻分类器完成表情的分类识别。通过在JAFFE国际表情数据库和
fcm
- 模糊C均值方法,将模糊的方法用到K均值方法里面-Fuzzy C Means method, the fuzzy approach method which used the mean K
KFCMClust
- 采用模糊C均值对数据集data聚为cluster_n类-Fuzzy C mean data on the data sets together to cluster_n class
FuzzyKmeanclustering
- code for fuzzy k-mean clustering-code for fuzzy k-mean clustering..
fuzzy-c-means
- 模糊C均值聚类算法,在C均值的基础上加入隶属度。-Fuzzy C-means clustering algorithm, on the basis of the C mean join the membership.
C-Moyennes-Floue
- C-moyenne floue (La méthode C-moyenne floue (ou fuzzy C-mean) est une méthode de classification itérative qui permet de classifier les individus selon C classes )
fuzzy-clustring
- fuzzy c mean clustring matlab code
fuzzy-code
- here i am representing a Fuzzy C mean clustering algorithm java source code
FuzzyC-Means
- Fuzzy c-means (FCM) is a method of clustering which allows one piece of data to belong to two or more clusters
KFCM-master
- 基于核方法的模糊C均值聚类,考虑到空间数据之间的相关性,结合各点的邻域信息,在原代码中添加邻域信息:(The fuzzy C mean clustering based on kernel method, considering the correlation of spatial data and combining the neighborhood information of each point, adding neighborhood information to the origin
模糊C均值算法
- 亲测,能实现模糊C均值聚类的MATLAB程序(MATLAB program that can realize fuzzy C mean clustering)
模糊C均值聚类算法
- 模糊c-均值聚类算法通过优化目标函数得到每个样本点对所有类中心的隶属度,从而决定样本点的类属以达到自动对样本数据进行分类的目的,一般用于故障识别与分类。(Fuzzy c- mean clustering algorithm obtains the membership degree of every sample point to all class centers by optimizing the objective function, and determines the classifi
FCM
- 使用模糊C均值聚类(FCM)的方法对状态进行分类,其优点首先是可以根据实际情况自动确定聚类中心,减少人工干涉的因素,其次,对状态特征参数不是进行硬分类,而是通过隶属度的表征方式对其聚类,更加符合现实状态类别之间不具备明显界限的实际问题。(The use of fuzzy C mean clustering (FCM) method to classify the state, its advantage is first can automatically determine the clust
遗传算法应用于模糊C均值聚类
- 将遗传算法应用于模糊C均值聚类,可以取得不错的效果(The application of genetic algorithm to fuzzy C mean clustering can achieve good results.)
FCMCluster
- 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称( FCM)。在众多模糊聚类算法中,模糊C-均值( FCM) 算法应用最广泛且较成功,它通过优化目标函数得到每个样本点对所有类中心的隶属度,从而决定样本点的类属以达到自动对样本数据进行分类的目的。(Fuzzy c- means clustering algorithm fuzzy c-means algorithm (FCMA) or FCM. Among the many fuzzy clustering a