搜索资源列表
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.
beyes
- 1.基于Bayes分类的MATLAB程序 2.遗传算法求解函数优化 3.基于Matlab的人工免疫算法 4.空间数据分析中最常用的是聚类分析(k均值算法代码) 5.蚁群算法的matlab源码
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
c_modify
- 在matlab环境下利用c均值聚类方法解决非监督分类问题-Matlab environment in the use of c-means clustering method to solve the problem of non-supervised classification
PSO_K
- 毕设题目，基于K均值的PSO聚类算法，共享了。-Bi-based topic of the PSO-based K-means clustering algorithm, shared.
k-centers
- 不同于k均值聚类的k中心聚类，2007年SCIENCE文章Clustering by Passing Messages Between Data Points 中的方法-Unlike k-means clustering of the k cluster centers, in 2007 SCIENCE article, Clustering by Passing Messages Between Data Points of the Method
kmeans
- 数据挖掘中的K均值聚类算法的MATLAB的实现-k means clustering algorithm
K-means
- 均值为K的聚类算法，是一种对聚类数据进行的最简单的算法，广泛应用在各种场合中。-K mean clustering algorithm for clustering data is the most simple algorithm, widely used in various occasions.
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
FCM
- 模糊C均值聚类（FCM）的matlab代码，包括很详细的注释。适用于图像处理。-Matlab code fuzzy C-means clustering (FCM), including very detailed notes. Suitable for image processing.
K-mean
- K均值聚类,用于空间区域的自适应划分，用MATLAB软件来实现。-K-means clustering for adaptive division of the region of space, using MATLAB software to achieve.
C_SelfAdapt_fcm
- 自适应模糊C均值聚类的MATLAB源代码，自适应确定聚类个数。-Adaptive Fuzzy C-Means clustering MATLAB source code, adaptive determine the number of clusters.
std_fcm
- 模糊C均值聚类的MATLAB源代码，已经封装成函数的形式。-Fuzzy C-Means clustering MATLAB source code, has been packaged into the form of function.
kmeans
- matlab实现的k均值聚类算法，能对不同维度的数据进行聚类，有测试程序，欢迎下载-k-means clustering algorithm matlab implementation, capable of clustering data in different dimensions, with a test program, welcome to download
69b2bf05df5a
- 模糊C均值聚类的MATLAB实现，其中包含了10个MATLAB函数--MATLAB fuzzy C-means clustering to achieve, which contains 10 MATLAB functions-
K-means--experiment
- 基于MATLAB的编写的K均值聚类实验多类算法，caculateCenter1.m是确定类的中心，主函数是main-Experimental multi-class algorithm based on MATLAB prepared by K-means clustering, caculateCenter1.m the center determines the class, the main function is the main
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
clusteringAnalysis
- 模式识别中K均值聚类分析算法的matlab实现及注释，其中采用了误差平方和判断。-K-means clustering analysis algorithm in pattern recognition of matlab and annotation, which adopts the error sum of squares of judgment
Kmeans
- 可以实现K均值聚类的MATLAB程序。但是有点小问题。(The MATLAB program of K mean clustering can be realized.)
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.