搜索资源列表
pointsclassify
- 用于模式识别分类，有C均值算法、HK算法以及感知器算法-for the classification, C-means algorithm, HK algorithm and Perceptron Algorithm
Cluster111
- C-均值动态聚类算法 matlab 很简单对 一组样本点的分类和中心点-C - Means clustering algorithm Matlab is very simple sample of a point and focal point for the classification
GA-FCM.rar
- 遗传算法改进的模糊C均值聚类的matlab源程序 可以运行 格式需要更改,Improved genetic algorithm fuzzy C-means clustering can run the matlab source code need to change format
GAFCM
- 遗传算法改进的模糊C-均值聚类MATLAB源码 模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。 -Value algorithm (FCM) of the optimization calculations, by the genetic algorithm is the initial cluster centers, and the
C-mean
- 模式识别中用matlab实现c均值的计算，分类实现的算法。-matlab，c-means fuction
Cjulei
- 利用模糊c—均值聚类方法将data 数据向量；3表示分成三类；center表示分类中心-Using fuzzy c-means clustering method to the data vector data 3 that is divided into three categories center said the classification center
ImprovedKMeans2
- 使用C-均值算法对N多个样本进行分类，改进后的C++程序。-C-means algorithm using multiple samples of the N classification, improved C++ program.
Mean_C-based_multi-class_pattern_recognition
- 基于C均值的多类模式识别，满足正态分布的样本进行分类训练。-Mean C-based multi-class pattern recognition, classification of samples to meet the normal training.
fuzzycm
- 采用模糊C均值聚类方法，能够对样本进行很好的分类，很好用-Fuzzy C means clustering method, the sample can be well classified, very good use
fcmFch
- 图像量化方式，模糊C均值 可用于图像分类-Fcm for image Quntation
CCluster
- 用matlab写的模式识别中C均值分类算法，数据被分成2类，经验证正确-Pattern recognition with matlab written in C-means classification algorithm, the data is divided into two categories, proven correct
FCM-clustering
- 模糊C均值聚类算法,模糊C-均值算法(FCM)是一种能自动对数据样本进行分类的模糊聚类方法,通过优化目标函数得到每个样本点对类中心的隶属度来决定各样本点的归属.-FCM clustering
mohucjunzhi
- 此方法用模糊聚类的方法对全体样本进行分类，称为模糊c均值-Fuzzy c-means
fuzzyC-means-classification
- 这是模糊C均值的matlab源程序，只要输入原始数据就可以按要求井陉分类~-This is the fuzzy C-means matlab source, as long as the original input data required Jingxing Category ~
KFCM
- 利用核模糊C均值聚类KFCM算法实现对数据的分类-Nuclear Fuzzy C-Means Clustering KFCM algorithm on data classification
C_MeansFun
- 基于matlab实现C-均值分类,模式识别简单聚类分析-experiment of C-mean to explain the course
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
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
模拟退火和模糊C均值分类
- 遗传模拟优化初始聚类中心,模糊C均值聚类(Genetic algorithm is used to optimize initial clustering centers and fuzzy C means clustering.)