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K均值
- 本程序通过k均值算法对两类进行分类。通过任意选择初始点，由k均值很快找到两类的中心点-the procedure k means algorithm to classify two types. Through arbitrary choice initial point, k Mean quickly found two focal point
K均值算法
- 实现K均值算法，读取文件，实现K均值的分类。-K-means algorithm to achieve, reading the paper, K-mean achievement category.
数据挖掘中K均值算法实现
- 数据挖掘中K均值算法的实现用MATLAB编写-data mining to the K-means algorithm to achieve prepared using MATLAB
K均值聚类
- 对图像进行K均值聚类的程序
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
K-Means
- K均值聚类算法 C++实现的K均值聚类算法。-K means clustering algorithm C++ Achieved K-means clustering algorithm.
exer-kmean
- k均值算法实现聚类 c语言编写-k-means clustering algorithm c language
k_mean
- K_mean K均值算法 C语言-K_mean K means algorithm C language
K-mean
- K均值算法： 给定类的个数K，将N个对象分到K个类中去， 使得类内对象之间的相似性最大，而类之间的相似性最小-K-means algorithm: the number of a given type of K, will be assigned to N objects of category K go, making the object category similarity between the largest, while the category of the simi
k-means
- 实现了K均值算法，可以对movielens上的数据进行自动分类，给出推荐值，是数据挖掘中的信息推介必要的算法工具。可以直接对movelens的数据进行聚类-Implementation of the K-means algorithm, can movielens on automatic classification of data, recommend give the value of data mining are to promote the necessary information
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
- 聚类算法主要针对k-均值法求解聚类问题，可以用于神经网络。-k-means
k-meanswunn061
- matlab 实现k均值 k-means算法 过程清晰 适合初学者-matlab to achieve k-means k-means algorithm suitable for beginners a clear process
1
- 模式识别分层聚类、k—均值算法，支持向量机、线性判别、判别代码、ppt-Pattern recognition hierarchical clustering, k-means algorithm, support vector machines, linear discriminant, discriminant code, ppt
K-meansclusteringalgorithmmatlabprogram
- 模式识别课上的大作业，要求用K-均值算法对150个样本进行分类。-Pattern Recognition course the big job, asked to use K-means algorithm to classify 150 samples.
k-means
- 名为k-means的MATLAB函数，实现k均值算法。输入矩阵X,w，输出最终估计值和聚类的标识数字。-Called the k-means of the MATLAB function, to achieve k means algorithm. Input matrix X, w, the output value of the final estimates and cluster identification number.
HCM
- HCM是模糊聚类，k均值算法 -hcm
kmeans
- 基于k均值的无监督聚类算法，输出有各个样本的类别标签，目标函数在每次迭代后的值，聚类中心以及聚类区间。内有测试数据，点击 test.m 可以完美运行。(The unsupervised clustering algorithm based on K means outputs the class labels of each sample, the value of the target function after each iteration, the clustering center a
k均值聚类
- 用VC++写的K均值聚类算法，可以直接使用(K mean clustering algorithm is written by VC++ , which can be used directly.)
k-means算法2
- 使用该算法可以实现数据的聚类分析，非常适合初学者。(The algorithm can be used to achieve clustering analysis of data, ideal for beginners.)