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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
基于kdtree的kmeans聚类算法
- 基于kdtree的kmeans聚类方法。
my_kmeans
- 模式识别k_means聚类算法。-kmeans clutering algorithm for Pattern Recognition
K-Means动态聚类算法源程序
- This directory contains code implementing the K-means algorithm. Source codemay be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANSprogram accepts input consisting of vectors and calculates the givennumber of cluster centers using the
kmeans_cluster聚类算法的实现
- 数据挖掘中k-means聚类算法的实现源代码-clustering algorithm source code in data mining
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
K－Means聚类
- k-means聚类算法源码。kmeans是一种常用的分割算法，简单而又高效。-k-means clustering algorithm source code. Kmeans is a common segmentation algorithm is simple but efficient.
k-means(VC)
- k均值聚类算法分析，采用C++编程技术，提供代码可重用机制 -k-means clustering algorithm analysis, the use of C programming, code reuse mechanism
kmeans_java
- k-means聚类算法的java代码实现,良好的代码风格，适合扩充-k-means clustering algorithm to achieve the java code, the code of good style, suitable for expansion
KMEANS
- 聚类分析中一个简单的聚类算法：Ｋ均值算法。-Cluster analysis of a simple clustering algorithm: K-means algorithm.
KMEANSII
- 神经网络中的K均值聚类算法II： 1.KMIn为输入数据文本，其中，第一个参数为所要聚类点个数，第二个参数为聚类点的维数,第三个参数为所要求聚类的个数 2.KM2OUT为经过K均值聚类算法II计算后得到的结果-Neural network in K-means clustering algorithm II: 1.KMIn input data for the text, of which the first parameter to be the number of cluste
Kmeans
- 在Visual C++.NET2003平台下实现聚类算法中的K-MEANS算法，对随机生成的点进行了聚类。使用单文档结构，并将聚类结果显示出来。-In the Visual C++. NET2003 platform clustering algorithm to achieve the K-MEANS algorithm, on randomly generated points in the cluster. Use a single document structure, and clus
kmeans070622
- 这是一个关于K均值的聚类算法希望对大家有用-This is a study on K-means clustering algorithm to all of us hope that useful
KMEANS
- 经过本人修改成类模式后的Kmeans聚类算法，对类成员有详细注释。-After I type model modified after Kmeans clustering algorithm, the class members have detailed notes.
KMEANS
- KMEANS聚类算法实现程序，程序分为两个部分，包括数据和KMEANS聚类算法实现程序，并有详细的注释．-Clustering algorithm KMEANS realize procedure, the procedure is divided into two parts, including the data and clustering algorithm KMEANS realize procedure, and detailed notes.
kmeans
- 聚类算法kmeans，比较简单的聚类算法，通过欧几里德距离确定聚类的标准，对二维的点进行聚类-Clustering algorithm kmeans, relatively simple clustering algorithm, through the Euclidean distance to determine the standard clustering of the points of two-dimensional clustering
kmeans
- data mining algorithm . kmeans聚类算法-clustering algorithm
warp-kmeans
- 传统的kmeans聚类算法不能保证时间序列聚类结果的时序性；基于warp-kmeans聚类算法可以有效处理时间序列的聚类问题，而且复杂度低，迭代次数少。 ，输出有目标函数在每次迭代后的值，聚类中心以及聚类区间。内有测试数据和相关文献，点击 test.m 可以完美运行(The traditional kmeans clustering algorithm can not guarantee the time series of the time series clustering results
matlab实现Kmeans聚类算法
- matlab实现Kmeans聚类算法，非常详细。(The algorithm is designed to test the MATLAB clustering algorithm and is very useful.)
kmeans聚类算法
- kmeans聚类分析，无监督学习实现Matlab代码(Kmeans clustering analysis, unsupervised learning implementation of MATLAB code)