搜索资源列表
RFC
- 聚类算法：粗糙模糊均值聚类的聚类实现，并与模糊均值聚类结果作以比较-Rough fuzzy clustering matlab program
mohujvlei
- 该程序是基于MATLAB的模糊C均值聚类算法，该算法是MATLAB最基本的算法，对初学者很有用。-The program is based on MATLAB Fuzzy C-means clustering algorithm, which is the most basic of MATLAB algorithms, very useful for beginners.
Cmeans
- MATLAB对C均值聚类分析算法进行编程的源代码-MATLAB c-means clustering analysis algorithm for programming source code
FCM
- 实现模糊C均值聚类分析的MATLAB源程序-FCM by matlab
My-clustering-algorithm
- 自己编写的模糊c均值聚类算法MATLAB实现-My preparation of fuzzy C mean clustering algorithm MATLAB implementation
kmeans
- k均值聚类分割算法的matlab代码，初学者使用-k-means clusterings
Matlabalgorithmlibrary
- MATLAB算法库，包含K均值聚类-分类模型，logistics回归-用于决策，非线性拟合，回归分析模型，支持向量机SVM-用于分类决策，主成分分析PCA-用于决策，TXT格式，适用于数学建模-MATLAB algorithm library, including K-means clustering- classification model, logistics regression- for decision making, nonlinear fitting, regression an
FCM
- FCM+KFCM模糊C均值聚类分析算法matlab代码，有界面，有图片，运行正常-FCM+KFCM fuzzy C mean clustering algorithm ，matlab code, there are interfaces, pictures, running normal
Fuzzy
- FCM模糊C均值聚类资料，用matlab编程，实用-FCM fuzzy C-means clustering data, matlab programming, practical
kMean
- k均值聚类的matlab代码，包含有样本间距的矩阵求解程序。-k-means clustering matlab code, comprising sample matrix solvers pitch.
gogd__jhe
- FCM,模糊C均值聚类的MATLAB实现[matlab],很好的源码 不错的-FCM, the MATLAB fuzzy c-means clustering (MATLAB), a good source of good
synthetic
- 利用matlab进行看均值聚类，简单实用。。。(Using MATLAB to look at the mean clustering, simple and practical...)
tge-source
- FCM,模糊C均值聚类的MATLAB实现[matlab],很好的源码 不错的(FCM, the MATLAB fuzzy c-means clustering (MATLAB), a good source of good)
kmeans
- 基于Matlab的K均值聚类算法程序，将数据集分为两类(Kmean clustering algorithm, the data sets are divided into two classes)
fuzzycm
- FCM（模糊c均值聚类函数）的一个实例，通过matlab实现这一经典的模糊算法(An example of FCM based on matlab)
Algorithm
- 一个简单的kmeans均值聚类算法。可以用matlab实现对于均值的聚类(A simple kmeans mean clustering algorithm. Matlab can be used to implement the clustering of the mean)
qam_16_kmeans
- 1. 在matlab中，对k均值聚类算法的原理进行仿真实现； 2. 在不同信噪比下，比较接收QAM信号的星座图； 3. 对接收的星座图使用K均值算法进行均衡，比较使用算法和不使用算法直接解调的误码率。(1.we simulate the principle of K means clustering algorithm in MATLAB. 2. the constellation diagram of receiving QAM signals is compared at
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)
49779421k-mean
- k均值聚类程序，虽然matlab中也有自带的，但是这个速度不错。(K mean clustering program, although matlab also has its own, but this speed is good.)
ABC-K-means
- 基于改进人工蜂群算法的K均值聚类算法-喻金平-郑杰-梅宏标，matlab(K-means clustering algorithm based on improved artificial bee colony algorithm-Yu Jinping-Zheng Jie-Mei Hongbiao, matlab)