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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.
K-meanCluster
- How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples random
k-mean
- k-均值算法 做的图象分割实例 （将图片像素聚成三类）
k-mean
- 算法描述： 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-mean
- K-means聚类算法的java实现描述！有详尽的说明，对初学者非常有用！
KClustering
- k-聚类算法-k- gathers a kind of algorithm
k-means代码
- 这只是我从其它网站上下载的-from other websites on the download
kmeans聚类算法源码
- k均值聚类算法源码，比较经典，无解压密码-kmeans clustering algorithm source code,comparatively classical,no password for unzip
新建 Microsoft Word 文档 (3)
- 基于划分的聚类分析算法k-means,主要用于数据挖掘领域.-Partition- based cluster analysis algorithm k-means, used mainly for data mining areas.
MFY_kmeans
- 这是我帮一个本科生做的毕业设计，实现的数据挖掘的k均值和k中心算法，其中包含了我做的两个二维的数据集，感觉要预先知道k的参数值，不是很方便-This is what I do to help an undergraduate graduation Design, Implementation of the Data Mining mean k and k center algorithm, which includes me to do
一种新的聚类分析距离算法
- K均值是一个预先知道类数的算法，需要具备专业知识，不现实。本文提出一个确定类数的方法。-K is a means to know in advance the number of categories algorithm, requires expertise and unrealistic. This paper presents a number of categories to determine the method.
MyKmeans
- 实现聚类K均值算法： 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。 缺点：产生类的大小相差不会很大，对于脏数据很敏感。 改进的算法：k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用，这样的一个medoid就标识了这个类。步骤： 1，任意选取K个对象作为medoids（O1,O2,…Oi…Ok）。 以下是循环的： 2，将余下的对象分到各个类中去
KMeansClustering
- k均值聚类的算法，这是通用程序！欢迎借鉴使用-k average value gathers a kind of algorithm, this is the general routine! Welcome to profit from uses
KMEANS01
- This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given
数据挖掘常用算法
- 数据挖掘常用的算法，包括id3，k均值，FCM，SVM,CART五个常用的算法，是用matlab编写的。-commonly used data mining algorithms, including id3, k mean, FCM, the SVM, CART five commonly used algorithm is the use of Matlab prepared.
练习一源程序
- K-means一个用C++实现的聚类算法 -K-C means to achieve a clustering algorithm
K均值聚类
- 非监督分类,主要在遥感图象分类处理中有应用-unsupervised classification, mainly in remote sensing image classification application is processed
KMEANS
- 经典统计方法：k-means聚类分析源程序-classical statistical methods : k-means clustering source
kmeans_1
- RBF神经网络的K均值算法，C程序的，供大家参考！-RBF neural network algorithm mean K, C procedures, for your reference!
kMean
- K-means algoritnm implemented with java