搜索资源列表
KMEANS(matlab)
- Matlab环境下的k-means聚类算法，实现图像分割，很快阿！-K-means Clustering arithmetic based on Matlab platform.It s fast for Image-Division!
KMEANS
- k聚类免疫 算法的matlab仿真程序源码
K_means
- K-means MATLAB源程序，适用于聚类分析的代码-K-means MATLAB programe
K-means
- 简单实用的k均值聚类算法，可以实现多位向量的简单聚类-Simple and practical k-means clustering algorithm, can achieve more than a simple vector clustering
unsupervisedClassification
- 非监督分类程序，MATLAB环境，采用K均值算法，通过初始聚类中心逐次迭代而得到所要分类，并输出分类后的图像。-Non-supervised classification procedures, MATLAB environment, using K-means algorithm, the initial cluster center through successive iterations to be classified, and the output classification im
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
- k平均聚类所谓k均值聚类方法是一种无监督的学习算法，它能用已知类数的数据聚类和预测。-k-average clustter
K-means
- kmeans算法代码，已经通过验证，可以正常使用，没有病毒
Salama
- 改进的Salama网络拓扑随机生成算法通用Matlab程序，在随机抛撒节点的时候使用了K均值聚类，网络节点分布均匀且疏密得当，边的分布也比较均衡。-Improved algorithm for randomly generated network topology Salama General Matlab program, when the nodes in the random throw using K means clustering, the network node density
k-means-algorithm-
- 在matlab开发环境下用k均值算法实现数据的分类，以及得到数据的聚类中心- realizingthe data classification With k-means algorithm
Twenliie
- 基于纹理的图像分割的Matlab源代代码,应用小波和K均值聚类-matlab -Texture-based image segmentation Matlab source generation of code, the application of wavelet and K-means clustering-matlab
New-Revised-K-means
- New revised K-means聚类算法，为matlab函数，需要调用才能使用-New revised K-means clustering algorithm for matlab function, you need to call in order to use
k-means-and-pca
- 用matlab实现k-means聚类算法以及pca(主成分分析)算法-k-means and pca using matlab
K聚类
- 聚类，这是一个用MATLAB编写的kmeans算法，主要用通常的聚类分析(Clustering, which is a MATLAB written in kmeans algorithm, mainly with the usual clustering analysis)
《MATLAB统计分析与应用》程序与数据
- 数据的导入导出，将数据写入到txt，从TXT读取数据；数据预处理，归一化处理；聚类分析，K均值聚类等(Import and export data, write data to TXT, read data from TXT, data preprocessing, normalization processing, clustering analysis, K clustering, etc.)
k_medoids
- 采用MATLAB实现k-medoids聚类算法(Implementation of k-medoids clustering algorithm using MATLAB)
常用聚类
- 常用聚类的MATLAB程序，调试均可用。包含k均值聚类、模糊C均值聚类、模糊减法聚类、谱系聚类(Common clustering MATLAB program, debugging are available. Including k-means clustering, fuzzy C-means clustering, fuzzy subtraction clustering, pedigree clustering)
MeanShiftCluster
- 该算法实现了均值漂移聚类算法，在MATLAB平台下有很好的结果验证(MeanShiift Cluster, it improves the performance than tradional cluster algorithm, such k-means cluster algorithm.)
k-means-master
- just a silly k-means implementation in MATLAB. 简单的用MATLAB实现的kmeans算法(just a silly k-means implementation in MATLAB.)
cluster
- 对一个随机生成100个0到100的点，实现k=2的聚类划分(Clustering and partitioning of k=2)