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基于matlab的K均值聚类程序
- 基于matlab的K均值聚类程序。其中用IRIS数据进行验证，得到了很好的结果。文件中包含了演示后的结果图,Matlab-based K-means clustering procedure. Which use IRIS data verification, have had good results. File contains the results of the demonstration plan
k-rbf
- 程序是基于K均值聚类的RBF代码，很好的一个例子。-K means clustering procedure is based on the RBF code, a good example.
k-mean k均值聚类程序
- k均值聚类程序，虽然matlab中也有自带的，但是这个速度不错。-program for k means used for cluster
proj10-01
- 在试验中编写程序实现了K均值聚类算法,K均值聚类的原理是：在训练样本中找到C个聚类中心，每个聚类中心代表一个类的中心。然后将样本归类到与其最近的聚类中心的那一类。 C的选择是通过先验知识或经验选取的。聚类中心是通过算法迭代求得的。-In the test preparation process to achieve a K means clustering algorithm, K means clustering principle is: in the training samples to
KMeansAlgorithm1
- 这是一个聚类程序，基于lab空间的k均值聚类程序-this is a program of k mean method,based in the lab space.
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-均值聚类算法程序，数据挖掘中比较经典的一种聚类算法-K-means clustering algorithm procedures
Kmeans-clustering
- 用matlab编写的k均值聚类程序，可直接运行调用-Prepared by the MATLAB K mean clustering procedures, can be directly run call
Matlab-image-K-means-
- 基于matlab的图像K均值聚类算法程序-Matlab image K-means clustering algorithm
K-means
- K均值聚类的例子程序，程序中有附带的数据-examples of k-means technology
k_means
- k均值聚类算法，使各个样本与所在类均值的误差平方和达到最小，并且附有显示程序-k-means clustering algorithm, where the class so that each sample and the mean squared error to a minimum, and with the display program
K_mean_julei
- 这是一个用k均值聚类的matlab 程序 程序对高维数据利用k均值进行了聚类-This is a k-means clustering matlab program procedures for high-dimensional data for the use of k-means clustering
k-means-for-iris
- 利用K均值聚类对鸢尾花样本进行聚类的matlab程序，包含源代码、样本数据、聚类结果-The use of K-means clustering method to classify iris sample matlab program, the program includes source code, sample data, the classification results
kmean112233
- 用K均值聚类，不错的程序，可以直接运行的程序-K-means clustering, a good program, you can run the program directly
K-means-clustering
- 一个关于matlab在K均值聚类方法中的应用程序包，可运行，包含一个函数文件、一个可执行文件和一个数据文件。希望有所帮助！-a code package about K-means clustering method on matlab,including one function files,a run files and one data file.it is helpful.
RBF-k
- RBF-k均值聚类算法的matlab程序和样本数据，可用于RBF-k均值聚类算法的仿真。-RBF-k-means clustering algorithm matlab program and sample data, can be used to simulate the RBF-k-means clustering algorithm.
kMean
- k均值聚类的matlab代码，包含有样本间距的矩阵求解程序。-k-means clustering matlab code, comprising sample matrix solvers pitch.
kmeans
- 基于Matlab的K均值聚类算法程序，将数据集分为两类(Kmean clustering algorithm, the data sets are divided into two classes)
聚类分析程序
- 包含了各类聚类分析程序。主要包括系统聚类，基于欧氏距离的聚类，变量系统聚类和K均值聚类(It includes all kinds of cluster analysis programs. It mainly includes system clustering, Euclidean distance based clustering, variable system clustering and K-means clustering)
k均值聚类
- 通过比较自编MATLAB 的k-means 算法程序和SPSS 中自带的k-means聚类工具，对两个数据集聚类，并分析了聚类结果。(By comparing the k-means algorithm program of self-compiled MATLAB with the K-means clustering tool of SPSS, two data sets are clustered and the clustering results are analyzed.)