搜索资源列表
k-means(matlab)
- 关于k-means聚类算法的MATLAB实现
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
codebook.rar
- a matlab program that deals with k-means algorithm to cluster the data points and build codebook.,a matlab program that deals with k-means algorithm to cluster the data points and build codebook.
K-MEANS-MATLAB
- 用matlab7.0编写的k均值算法，参数可调节，很好用-K-MEANS MATLAB
kmeans
- k均值代码，我自己做的，保证正确，欢迎下载-k means the code, I have to do to ensure that the correct, welcome to download
stprtool15aug08
- 统计模式识别算法包，包括线性分类算法，SVM，PCA，LDA，EM，k-means分类等多种常用的模式识别算法。-Statistical pattern recognition algorithm package, including a linear classification algorithm, SVM, PCA, LDA, EM, k-means classification and many other commonly used pattern recognition algori
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-means_Matlab
- K-均值算法的Matlab源代码，比较简短-Matlab source code of K-means algorithm
K-means
- k-means算法的实现，实用matlab是实现的，可以用啦做聚类分析-k-means algorithm for the realization of the practical realization of matlab, so you can use cluster analysis
K-Means-Color-Reduction
- 基于K-MEANS的图像退色算法。平台为MATLAB6.5及以上。-Based on the K-MEANS algorithm image fade
k-means
- 聚类方法中的K-means实现，用matlab语言实现的聚类-Clustering of K-means implementation of the cluster with matlab language
k-means
- k均值，数据已经有了，主要用于分类，美列都是一类数据，只用了其中一部分，数据是自己编的。(K mean, data already exists, mainly for classification, the United States column is a kind of data, only a part of the data is their own series.)
1、K-means学习
- K-means算法MATLAB仿真，利用一副图像作为数据实现K聚类算法仿真(K-means algorithm, MATLAB simulation)
k-means-matlab
- 利用k-means算法实现二维平面点的聚类，包括了运行源代码和结果图(The k-means algorithm is used to realize the clustering of two-dimensional plane points, including the running source code and the result graph)
k-means-master
- K-means算法 matlab 确保运行成功(K-means matlab successful)
K-means
- K-means算法是硬聚类算法，是典型的基于原型的目标函数聚类方法的代表，它是数据点到原型的某种距离作为优化的目标函数，利用函数求极值的方法得到迭代运算的调整规则。K-means算法以欧式距离作为相似度测度，它是求对应某一初始聚类中心向量V最优分类，使得评价指标J最小。算法采用误差平方和准则函数作为聚类准则函数。(The K-means algorithm is a hard clustering algorithm, which is representative of the prototy
K-means
- K-means聚类算法的matlab实现(k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each obse
K-means
- k-means算法主程序，已经经过测试，具体参数需要自己调整(K-means algorithm for matlab)