搜索资源列表
kmean_Clustering
- k均值聚类分析 c++版本 完全和MATLAB相同-k-means clustering analysis of c++ version of the same full and MATLAB
FCM_CPP
- 模糊C均值聚类算法（FCM）的VC++实现-Fuzzy C means clustering VC++ Implementation
fcm
- 模糊c均值聚类算法在matlab里的实现。-Fuzzy c means clustering algorithm in matlab in implementation.
kmeans
- K-均值聚类算法，一种基于均值聚类算法的算法，很好用-kmeans
Kmeans
- 对已存入txt文件中的样本点就行K均值聚类，可输出质心和各个类包含的样本点-Txt files that have been deposited in the sample points on the line K means clustering, centroid, and each output class contains the sample points
KMEANS
- 用C语言实现的基于均值聚类算法的图像分割的中心程序-c kmeans
K-Means
- 一个很好的C均值聚类算法！通过运行此文件可以很好的进行数据的分类。-K-means
knn
- k均值聚类+matlab 有详细的注释和图片-failed to translate
jull
- 模糊C均值聚类（FCM），即众所周知的模糊ISODATA，是用隶属度确定每个数据点属于某个聚类的程度的一种聚类算法。-Fuzzy C means clustering (FCM), known as fuzzy ISODATA, is used to determine membership of each data point belongs to a cluster of a clustering algorithm level.
fuzzyC
- 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 matlab source code, you can run, you need to change the format
FCM
- 采用不同算法编的一些模糊C-均值聚类（FCM）的matlab程序。-Compiled using a number of different algorithms of fuzzy C-means clustering (FCM) in the matlab program.
Cmeansclusteringmethods
- 本算法在vc++6.0中进行实验。分别就分解聚类和C-均值聚类两种方法在IRIS数据集上进行操作。分类前先将数据集中的样本顺序打乱形成混合数据。分解聚类中，采用前100个样本用对分法编制程序将数据分为两类。C-均值聚类采用全部的150个样本，将类别参数K设为3，将数据分为三类。-The algorithm in vc++6.0 in the experiment. Separate cluster and decomposition o
Kjunzhi
- K－均值聚类算法C++编程-...
fcm
- 采用模糊c均值聚类算法用以实现对图像的分割，以利于人们的研究处理-Fuzzy c
KMeansClusterConsole
- K均值聚类算法，取前k个点为初始聚类中心，然后进行迭代聚类-K means clustering algorithm, fetch the first k points as initial cluster centers, then the iterative clustering
K-MeansClusteringusing
- K均值聚类的一个实例，附上.dat文件和程序以及运行结果，和大家一起讨论，-K means clustering of an example, attached. Dat files and programs, and operating results, and we can discuss, Oh
k_means
- k均值聚类算法，可以完成k均值聚类运算。实现几个点的聚类-k means clustering algorithm, k means clustering operation can be completed. Clustering to achieve several points
ClusteringStatic
- 聚类分析算法,k均值聚类分析算法c++源码-clustering statics
jz
- 利用K-均值聚类算法对如下数据进行聚类，要求输出每个类及其中的元素-K-means clustering algorithm using the following data on the cluster, requiring the output of each class and its elements
k_means_cluster
- k均值聚类算法 ，c语言实现 了基于均值的聚类分析，同时增加了多维向量分析功能，使得聚类的收敛速度更快。-k means clustering algorithm, c language implemented based on the mean cluster analysis, while increasing the multi-dimensional vector analysis functions, making the c