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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
K-means算法源码
- kmeans 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 number of cluster centers
codebook.rar
- a matlab program that deals with k-means algorithm to cluster the data points and build codebook.,a matlab program that deals with k-means algorithm to cluster the data points and build codebook.
KMeansJava
- 利用Java实现的K-均值算法，K-Mean 分群法是一种分割式分群方法，其主要目标是要在大量高纬的资料点中找出 具有代表性的资料点；这些资料点可以称为群中心，代表点；然后再根据这些群中心，进行后续的处理，可用于数据挖掘中的聚类分析-Java implementation using K-means algorithm, K-Mean grouping method is a fragmented grouping method, whose main goal is to a large nu
KMeansClusterConsole
- K均值聚类算法，取前k个点为初始聚类中心，然后进行迭代聚类-K means clustering algorithm, fetch the first k points as initial cluster centers, then the iterative clustering
k-mean k均值聚类程序
- k均值聚类程序，虽然matlab中也有自带的，但是这个速度不错。-program for k means used for cluster
Kmeans_FCM
- java写的模糊c均值聚类算法和k均值聚类算法-fuzzy c means clustering algorithm and K means cluster in java
mean-K-KPCA
- 通过核 K- 均值聚类的方法对语音帧进行聚类 , 由于聚类的中心能够很好地代表类内的特征, 用中心样本帧取代该类, 减少了核矩阵的维数, 然后再采用稀疏 KPCA方法对核矩阵进行特征提取。-Through the nuclear K-means clustering method for clustering of speech frames, the cluster center can be a good representative of the class characteristics
K-means-cluster
- 主要是用来K均值聚类，K值按照自己的需要设置并将聚类结果保存到相应目录下的excel文档中-Mainly used K-means clustering, K value is set according to their needs and clustering results are saved to the appropriate directory under the excel document
X-means-Extending-K-means
- X-means k-means扩展 论文 聚类-X-means Extending of k-means cluster
k-means-cluster
- 分类算法中k均值分类算法，可以用于简单的模式识别中去。-Classification algorithm of k-means classification algorithm, which can be used in a simple pattern recognition.
k-means-cluster
- 运用k均值的方法按照一定的规则将离散的数据进行聚类处理-Using k-means method in accordance with certain rules discrete data clustering
K-means-cluster
- k-means算法是一种动态聚类算法，基本原理如下[24]：首先预先定义分类数k，并随机或按一定的原则选取k个样品作为初始聚类中心；然后按照就近的原则将其余的样品进行归类，得出一个初始的分类方案，并计算各类别的均值来更新聚类中心；再根据新的聚类中心对样品进行重新分类，反复循环此过程，直到聚类中心收敛为止。-K- means algorithm is a dynamic clustering algorithm, the basic principle of [24] as follows: fi
k-means
- K-means聚类的MATLAB程序实现-K-means cluster
K-means-matlab
- K-means聚类算法的MATLAB版本，不仅给出了代码，还包括在图像分类中的具体应用-K-means cluster algorithm in the version of matlab
k-means
- 这是k-means聚类算法的matlab仿真实现,程序中分别有二维控件和三维空间基于k-means的聚类demo-This is k- means clustering algorithm of matlab simulation implementation, respectively in the program have two-dimensional controls and three-dimensional space based on k- means cluster demo
fuzzy-K-means
- fuzzy-K-means聚类算法源代码，常用于模糊聚类分析，算法能取得较好性能，简单有效,应用范围广-the fuzzy-K-means cluster program which can achieve good performance
K-Means
- 对500个随机二维坐标点进行聚类，然后通过C++程序输出窗口输出。(Cluster Algorithm.Put the 500 2d points into 20 clusters.)
k-means
- 实现k均值聚类算法，可以使用彩色图像，通过随机初始化聚类中心，完成聚类(The K-means clustering algorithm can use color images to initialize cluster centers randomly and accomplish clustering.)
Improved K-means
- 基于数据密度自动计算最佳K聚类中心，对数据进行聚类(The best K clustering center is automatically calculated based on data density to cluster data.)