搜索资源列表
matlab_kjunzhi
- 基于matlab的图像K均值聚类算法程序 -Matlab-based Image K-means clustering algorithm procedures
RFCM
- 用 MATLAB 编写的 模糊C均值聚类法源程序 和模糊k均值聚类法源程序,比较实用。-using MATLAB fuzzy c-means clustering source and fuzzy k-means clustering source, more practical.
Fuzzy_K
- 高光谱遥感图像模糊c均值聚类算法的matlab实现-hyperspectral remote sensing images fuzzy c-means clustering algorithm to achieve the Matlab
K_average
- K均值聚类算法,matlab编写,很好用
kmeans
- matlab源码关于模糊K均值聚类算法，很好的，适合大家下载研究学习
fcm789.ZIP
- 模糊C均值聚类算法的MATLAB实现，比较经典的程序
fcm.ZIP
- 模糊C均值聚类的MATLAB实现，其中包含了10个MATLAB函数-Fuzzy C - Means clustering MATLAB, which contains 10 MATLAB function
FCM
- C均值模糊聚类，适用于图像分类，此为MATLAB 程序代码。-C mean fuzzy clustering for image classification, this is MATLAB code.
kMeansPPTest
- k均值聚类算法，并包含了对该算法的一些优化，使用c语言进行程序的编写-k means clustering algorithm, using the procedures for the preparation matlab
fcm-MATLAB
- FCM,模糊C均值聚类的MATLAB实现-FCM matlab
Matlab
- 邓勇夫 基于K-均值聚类算法的数据分类方法MATLAB实现-K-means MATLAB
gafcm
- 这是遗传算法改进的模糊C-均值聚类MATLAB源代码,由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最终的分类结果。-This is the MATLAB source code of the improved fuzzy c-means clustering(FCM) based on the genetic algorithm(GA).The initial cluster centers are otained through GA,and the final clust
FCM(Matlab)
- FCM K均值聚类算法的matlab实现 ，-FCM 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)
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)
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.)
time-domain
- 自己用的时域特征提取方式，包含均值，均方根值，歪度，峭度，峰值指标，阈值裕值指标，峭度指标等，然后用RBF做聚类(The method of feature extraction in time domain includes mean value, root mean square value, skewness, kurtosis, peak value index, threshold margin index, kurtosis index, etc. Then RBF is used
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)
matlab代码
- Matlab代码，根据算法原理自己编写的基本算法的代码，有：KNN，层次聚类，C均值，最邻近算法。包括自己挑选的数据集，对算法准确率的测试。(Matlab code, the code of the basic algorithm written by itself according to the algorithm principle, there are: KNN, hierarchical clustering, C-means, nearest neighbor algorithm.