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wkmeans
- 加权k均值算法，或者称为加权C均值聚类算法-Weighted k-means algorithm, or as the weighted means clustering algorithm C
Kmean_c
- 聚类分析最基本的K均值算法的C语言实现程序-Cluster analysis of the basic K-means algorithm of C language procedures realize
KMEAN
- 聚类分析算法中的最基本的K均值算法C++实现程序-Cluster analysis algorithm of the basic K-means algorithm C++ Realize procedures
k-means
- 这是K均值算法,采用c语言编写,K的取值为2,大家可以改变K的值来进行测试-This is the K-means algorithm, using c language, K value of 2, we can change the value of K for testing
NetCreate
- 现有的几个网络拓扑随机发生器，其实很难生成理想的网络拓扑结构，其主要原因在于很难控制节点的疏密和间距。我们提出来的这个改进算法，在随机抛撒节点的时候使用了K均值聚类，由本算法作为网络拓扑发生器，网络节点分布均匀且疏密得当，边的分布也比较均衡-The few existing random network topology generator, is in fact very difficult to generate the desi
K-SA
- 此文档是K类均值聚类和模拟退火结合的软硬件化分算法。众所周知，模拟退火算法的通用性，此算法是模拟退火的改进，较单纯的SA更优秀。-This document is a category K-means clustering and simulated annealing combination of hardware and software sub-algorithm. As we all know, the generic simu
k_algorithm
- k均值算法matlab实现，模式识别中常用-k-means algorithm matlab realize, pattern recognition used in
kmedia
- 用matlab语言实现k均值的模式识别的聚类算法-Matlab language used k-means clustering algorithm for pattern recognition
cluster_algorithm
- 包括分解聚类算法和k-均值聚类算法，内有用到的数据文本文件，开发环境Visual Studio .NET2003-Including the decomposition clustering algorithm and k-means clustering algorithm, with useful data to a text file, development environment Visual Studio. NET2003
c-mean
- C-means 算法，模式识别中常用到的C均值聚类算法，使用VC开发，版权归开发者所有-C-means algorithm, pattern recognition used in the C-means clustering algorithm, the use of VC development, belongs to all developers
k_means
- 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。 Matlab 源代码，以兰花数据集作为测试对象。-k-means algorithm to accept input k then n data object is divided into k
meanks
- 这个应用程序是使用k均值聚类算法分割一个灰度图像。-This application is to use k-means clustering algorithms partition a gray image.
k-means_cluster
- 通过将一幅图像的sift特征提取出来，然后对他们采用k均值方法进行聚类-By an image feature extraction sift out, and then on their way to the use of k-means clustering
segment
- 在matlab下的k-均值聚类进行图像分类分割处理-In matlab under the k-means clustering for image classification be dealt with separately
matlab_MRF
- k-均值算法的源码很有用，希望有帮助，请多多指点-k-means algorithm is useful source of hope that has helped, please instruct it
123456789K_Average
- K均值算法的matlab代码，使用起来很简单，对于模式识别的效果也很好，初学者也很容易看懂。-K-means algorithm matlab code, very easy to use, for the effect of pattern recognition is also good, beginners can easily understand.
K_average
- matlab实现的k均值聚类算法，可以实现对大量数据的有效分类-matlab implementation of the k-means clustering algorithm, can achieve a large amount of data on an effective classification
demo
- 实现数据挖掘的几个算法，包括模糊聚类，K均值，以及K近邻等聚类算法-Some of the implementation of data mining algorithms, including fuzzy clustering, K-means, as well as neighbors, such as clustering algorithm K
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 pro
kmeans
- 这个应用程序是使用k均值聚类算法分割一个灰度图像。-This application is the use of k-means clustering algorithm partitions a gray-scale image.