搜索资源列表
k_means
- 分类聚合算法k-means的实现,用matlab-polymerization classification algorithm k-means the realization of using Matlab
matlab_coding
- matlab的源程序,没有其他目的，只希望下载k均值算法看看!-Matlab source, no other purpose only hope downloaded k means algorithm to see!
EXO2ET3
- K均值算法和K近邻算法，以及用MATLAB实现相关例子。-K-means algorithm and the K-nearest neighbor algorithm, and using MATLAB relevant examples.
korcmeans
- 对于模式识别中的k均值（也称c均值）问题，给出了matlab实现。-pattern recognition for the k-means (also called c-means), is the realization of Matlab.
kmeansuanfa
- 对大量的数据通过matlab软件，运用k均值聚类算法进行分类，(By using matlab software, a large number of data are classified by using k-means clustering algorithm.)
ksuanfa
- 对大量的数据通过matlab软件，运用k均值聚类算法进行分类，上传文件中含例子(A large number of data are classified by matlab software, using k-means clustering algorithm to classify and upload files with examples)
julei
- 聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。 这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。(The clustering algorithm is given to a large number of original data, and then the data with similar features are gathered into a class by algorithm. The K-mean
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.)
k-means
- 利用matlab程序编写的图像分割代码，算法为kmeans聚类算法，分割速度和效果很好(The image segmentation code written by MATLAB program, the algorithm is kmeans clustering algorithm, the segmentation speed and effect is very good)
RBFN KMeans Example
- Radial Basis Function Network using K-means algorithm
EWKM
- 子空间聚类算法EWKM (Entropy Weighting K-Means) 在matlab上的实现。(Entropy Weighting K-means which is one of the subspace clustering algorithm written in Matlab.)
kjunzhijulei
- 说明K均值聚类算法的流程，并用matlab实现K均值聚类功能(Using MATLAB to implement function of K-means clustering)
Python
- 简单的k_means算法Python 和 MATLAB实现(Simple k_means algorithm Python and MATLAB implementation)
kmeans图像分类
- 利用简单kmeans聚类算法，对不同图片进行分类，图片内容包括人像，风景，建筑，动物，植物等，平台是matlab。(The simple k - means clustering algorithm is used to classify different pictures. the picture content includes portrait, scenery, architecture, objects, plants, etc. The platform is MATLAB.)
Color Reduction and Quantization
- Color Reduction and Quantization using k-Means, Fuzzy Clustering (FCM), and SOM Neuarl Network in MATLAB In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent c
PSO-rbf-kmeans
- pso rbf k-means simulik with matlab(programme d'un pso en hybride avec un rbf)
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)
IABC-KMC-master
- ABC蜂群算法含有K均值聚类的改进的算法(Improvement of ABC colony algorithm with K-means clustering)