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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
- k均值聚类算法源码 聚类算法学习的实例功能-k-means cluster 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
kmeans
- k均值算法的java源代码，希望能给大家帮助 -k-means algorithm java source code, I hope we can help
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
sujuwajue
- 数据挖掘考试准备的算法源码，包含Aporio算法，K均值算法，层次分类算法，内含有使用说明，经过考试和实验通过。-Examination of data mining algorithms to prepare the source, including Aporio algorithm, K-means algorithm, hierarchical classification algorithm, after the adoption of examination and experime
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- k均值算法，用matlab实现的，数据挖掘-k-means
K_Mean
- c++k均值算法，简单的示例程度，对K-mean学习有帮组-c++ k means algorithm, a simple example of the extent of the K-mean learning to help groups
k-means
- k-均值聚类算法c语言版，经验证测试是可以运行
k-means_Program
- k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。 -k-means algorithm to accept input k then n-k of data objects into a cluster in order to make the cluster available to meet: t
KMeansBMPSeg
- 模式识别经典方法之一 K均值算法（KMeans）进行图像分割 有完善的图形界面 可以通过柱状图的形式动态展示聚类程序-One of the classical method of pattern recognition K means algorithm (KMeans) for image segmentation has improved graphical interface can be dynamically displayed in the form of histogram clu
K-means-cSharp--code
- k均值算法是模式识别的聚分类问题，这是用C#实现其算法-K-means algorithm is pattern recognition of poly classification problem, this is written in c# realize its algorithm
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均值对iris数据集聚类
- k-means算法对irisdata数据集进行聚类(The k-means algorithm clustering the irisdata datasets)
K均值对图像进行聚类分析
- 用k-means算法对图像进行聚类，适合于初学者(K-means algorithm for clustering images, suitable for beginners)
K-means
- 用matlab实现k均值算法，不用库函数(Implementation of K mean algorithm)
ISODATA算法2
- 用ISODATA算法进行聚类，在K-均值算法的基础上加入了分裂与合并的步骤(ISODATA algorithm for classification)
kmean
- 对大量的数据通过matlab软件，运用k均值算法进行分类，(Using the matlab software to use the k-means algorithm to classify the large amount of data,)
kmeansuanfa
- 对大量的数据通过matlab软件，运用k均值聚类算法进行分类，(By using matlab software, a large number of data are classified by using k-means clustering algorithm.)
ksuanfa
- 对大量的数据通过matlab软件，运用k均值聚类算法进行分类，上传文件中含例子(A large number of data are classified by matlab software, using k-means clustering algorithm to classify and upload files with examples)