搜索资源列表
knn.kmeans.fisher
- 常用的分类方法，包括最近邻（NN），k均值（kmeans），k近邻，Fisher线性判别。-Commonly used classification methods, including nearest-neighbor (NN), k the mean (kmeans), k neighbors, Fisher linear discriminant.
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
rbf_Kmeans
- Matlab环境下实现的RBF神经网络K均值聚类算法-Matlab environment to achieve the RBF neural network K-means clustering algorithm
kMeansCluster
- K-均值聚类，比较好的聚类方法，应用广泛-K-means clustering, a better clustering method, widely used
ClusterBasics-V1.0
- 各类聚类算法程序包，包含各种经典的聚类算法，例如：k-mean聚类等-Various types of clustering algorithm package, contains a variety of classic clustering algorithms, such as: k-mean clustering, etc.
cluster
- k均值聚类算法源码（matlab） k均值聚类算法源码（matlab）-k-means clustering algorithm source code (matlab) k-means clustering algorithm source code (matlab)
K-Means-Color-Reduction
- 基于K-MEANS的图像退色算法。平台为MATLAB6.5及以上。-Based on the K-MEANS algorithm image fade
test_kMeansCluster.m
- K mean cluster matlab code
kmean
- k mean clustering in matlab
k-means_ColorImage_Segmentation
- This program written in MATLAB will find the clusters centriods using the K-Means algorithm for color images
kmean.m
- k mean matlab code for hyper imagery
K-means520
- K-mean算法介绍用matlab实现，很有用啊-K-mean algorithm is described by matlab implementation, useful ah
vqlbg
- 语音信号处理矢量量化的LBG算法，又称K-mean 算法-in speech signal process vector quantization technology using LBG algorithm with matlab language
K-Mean-Clustering-Code-in-Matlab
- k 均值聚类算法 ，能有效的将数据分成k类 但是具有k参数难以确定的缺点。 -k-means algorithm can cluster data into K class but, the parameter K can not be selected easily.
weighted_kmeans
- 用于实现weighted k-means算法，可以运行-It is used to perform weighted k-means clustering
k-mean
- 简单的K均值算法，使用matlab平台编程，两个文件一个是数据文件，一个是算法文件-Simple K-means algorithm, using matlab platform programming, one file is a data file, and the other is a algorithm file.
k-mean
- 用k均值方法进行分类的matlab小程序。-A small process based on k-mean.
k-means
- k均值，数据已经有了，主要用于分类，美列都是一类数据，只用了其中一部分，数据是自己编的。(K mean, data already exists, mainly for classification, the United States column is a kind of data, only a part of the data is their own series.)
kmean
- 确定K均值最佳聚类数，把数据导入后运行即可(Determining the best clustering number of K mean)
改进的基于划分算法的三维点云聚类matlab实现
- 根据网上基于划分法k-means的聚类算法，我做了改进。可以预设一个最大的类数和一个半径，自动划分合适的类。最终将随机三维点云聚类完成后显示为不同颜色。(According to the clustering algorithm based on partition K-means on the Internet, I improved it. A maximum number of classes and a radius can be preset to automatically divi