搜索资源列表
kmean
- 这是模式识别中关于k均值动态聚类算法的matlab源码-This is the pattern recognition on the k-means clustering algorithm Matlab FOSS
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
cskmeans
- K均值聚类用matlab实现源程序，可用于其他算法的结合与实现-K-means clustering using matlab
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
rbf111222
- 几个RBF的matlab程序，聚类，k-均值，预测，建模-Several RBF matlab procedures, clustering, k-means, forecasting, modeling
pattern-recognition
- 用matlab实现模式识别里的K-均值聚类算法，算法简单-Pattern Recognition using matlab to achieve in the K-means clustering algorithm, the algorithm is simple
Fuzzy-k--clustering
- 模糊K均值聚类算法的matlab程序，很实用，很有针对性。-K fuzzy means clustering algorithm matlab procedures, very useful and very targeted.
《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_means
- 一般的常规的k均值聚类，源码，没有数据，随便输入一个数据体就可以(General conventional k-means clustering, source code, no data, just enter a data body can)
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.)
qam_16_kmeans
- 1. 在matlab中，对k均值聚类算法的原理进行仿真实现； 2. 在不同信噪比下，比较接收QAM信号的星座图； 3. 对接收的星座图使用K均值算法进行均衡，比较使用算法和不使用算法直接解调的误码率。(1.we simulate the principle of K means clustering algorithm in MATLAB. 2. the constellation diagram of receiving QAM signals is compared at
49779421k-mean
- k均值聚类程序，虽然matlab中也有自带的，但是这个速度不错。(K mean clustering program, although matlab also has its own, but this speed is good.)