搜索资源列表
kMeansCluster
- K-Means聚类算法 Matlab代码-K-Means clustering algorithm Matlab code
kmeans_JIT
- 使用了JIT的高效的k均值算法，因为使用了JIT加速，所以在统计工具箱下，比一般的k均值要快许多-Efficient K-Means using JIT (Matlab code) This code uses the JIT acceleration in Matlab, so it is much faster than k-means in the Statistics Toolbox. It is very simple and easy to read.
vlfeat-0.9.13-bin.tar
- 特别牛的SIFT实现，VLFeat 0.9.13，代码特别清晰。C语言编写，有matlab接口。还包括了SIFT, MSER, k-means, hierarchical k-means等相关算法。-A library implements popular computer vision algorithms including SIFT, MSER, k-means, hierarchical k-means.
k_means
- 用matlab实现k-means聚类算法，本程序将随机数据点分为三类-Using matlab to achieve k-means clustering algorithm, the program will randomly divided into three categories of data points
KLS_RBF1
- 有归一化的基于k均值聚类和LS的matlab程序，神经网络算法-rbf based on k-means and ls，with standard
Kmeans
- 用matlab编写的K均值算法，测试数据为Iris数据，经调试运行良好！实验结果稳定！-K-means algorithm using matlab, test data for the Iris data, through debugging and running! Stability of the experimental results.
pca_kmeans
- 利用主成分分析和K-means聚类实现聚类的Matlab算法-principle component analysis and then use k-means clustering algorithm to realize the clustering
km_demo
- k均值是想过程,开发工具是MATLAB。详细实现了k均值算法-k-means is to want to process,the development is matlab
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
Msimplefuunca
- 几个用matlab实现正向云发生器，k均值算法的的程序，都已调试通过 ，经测试可直接使用。 -Several matlab realize positive cloud generator, k-means algorithm procedures have been debugging through, has been tested and can be used directly.
kmeans
- k均值算法用Matlab实现，这个不太确定-k-means algorithm using Matlab achieve, this is not so sure
kMeansCluster
- k均值聚类算法Matlab代码实现,可以直接运行-k-means clustering algorithm Matlab code to achieve, can be run directly
KNN
- matlab实现k均值分类，模式识别中的算法，共同学习！-matlab k-means classification, pattern recognition algorithms, learning together!
kmeans
- 关于K均值算法的常用程序，是采用MATLAB工具编写的，-K-means algorithm commonly used program
K_means
- 图像分割中K-means聚类算法的matlab实现-Image segmentation in the K-means clustering algorithm matlab implementation
EM-suanfa-hunhegaosi
- em算法计算混合高斯模型的参数估计，极大似然，EM算法用于K均值问题的参数估计。MATLAB实现有代码-em algorithm Gaussian mixture model parameter estimation, maximum likelihood parameter estimation for K-means problem EM algorithm. MATLAB implementation code
DATA
- matlab数据文件，聚类标准测试数据，K均值聚类等经典算法都可以用。mat文件-matlab data files, the standard test data clustering, K-means clustering algorithm can be used such as the classic. mat file
vlfeat-0.9.16.tar
- VLFeat是一款由Andrea Vedaldi和Brian Fulkerson先生创建的开源图像处理库，都属于机器视觉算法，vlfeat库有C和matlab两种实现，包括了SIFT,MSER, k-means, hierarchical k-means, agglomerative information bottleneck, and quick shift 这个库是C语言写的，效率比较高，支持Windows, Mac OS X, and Linux操作系统。可以在matlab、Shel
clustering-problem-
- 关于matlab解决聚类问题的相关程序，包含蚁群算法和K均值算法，可以一看，部分附带程序，非本人原创。-About matlab to solve clustering problem related procedures, including the ant colony algorithm and K-means algorithm, one can see, some incidental proceedings, not my original.
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