搜索资源列表
fastapcluster.zip
- 改进的邻近聚类方法，比k-means 和模糊c均值聚类好
K-均值聚类算法
- K-均值聚类算法的matlab源程序，K-均值聚类算法的matlab源程序
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.
kmean
- 包括K-均值聚类算法的思想介绍，kmeans的MATLAB代码，c语言代码、c++代码。-Including the K-means clustering algorithm introduced the idea, kmeans of MATLAB code, c language code, c++ code.
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
pso-clustering
- 基于粒子群的改进K均值聚类算法源代码。适用于MATLAB7.1。-Improved PSO-based K means clustering algorithm source code. For MATLAB7.1.
kMeansCluster
- K-均值聚类，比较好的聚类方法，应用广泛-K-means clustering, a better clustering method, widely used
cluster
- k均值聚类算法源码（matlab） k均值聚类算法源码（matlab）-k-means clustering algorithm source code (matlab) k-means clustering algorithm source code (matlab)
K-Means
- 较简单的KMeans聚类算法实现，编程语言matlab-Clustering KMeans relatively simple algorithm, programming language matlab
K_average
- matlab实现的k均值聚类算法，可以实现对大量数据的有效分类-matlab implementation of the k-means clustering algorithm, can achieve a large amount of data on an effective classification
K-means_Matlab
- K-均值算法的Matlab源代码，比较简短-Matlab source code of K-means algorithm
192010k-average
- kmeans均值聚类算法:一种改进的基于半监督聚类的入侵检测算法ASCID（Active-learning Semi-supervised Clustering Intrusion Detection），-kmeans clustering algorithm Algorithm was simulated by KDD 99 datasets， which the experimental results demonstrate that ASCID algorithm can impro
kmean_zmx_try
- k-means Cluster,kmean_zmx_try.rar,k均值聚类算法的matlab源代码-k-means Cluster,kmean_zmx_try.rar
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，输入聚类前的点集以及阈值，输出最后各个分类的中心点-K-means clustering, the input point set before clustering and threshold, output the final classification of the center of each
聚类分析程序
- 聚类分析程序 包括系统聚类 样品系统聚类 变量系统聚类 K均值聚类 模糊C均值聚类(Cluster analysis program)
kjunzhijulei
- 说明K均值聚类算法的流程，并用matlab实现K均值聚类功能(Using MATLAB to implement function of K-means clustering)
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.)