搜索资源列表
DataClusteringand-PatternRecognition
- 用matlab编程、用于数据聚类和模式识别的源代码-using Matlab programming for data clustering pattern recognition and the source code
kmean
- 这是模式识别中关于k均值动态聚类算法的matlab源码-This is the pattern recognition on the k-means clustering algorithm Matlab FOSS
MatlabandSPSS
- 使用matlab 和 spss 软件做的聚类分析程序。
fknn
- KNN算法的实现,k-nearest neighbors聚类算法的matlab 实现
KMEANS
- k聚类免疫 算法的matlab仿真程序源码
lab2
- matlab下基于近邻函数值法则的聚类算法.-Matlab neighbors function based on the law of the value of clustering algorithm.
yang_RBF
- 一种最小二乘法的RBF神经网络,用于对复杂系统的辨识研究-A least squares method of RBF neural network for identification of complex systems research
4
- 模糊C聚类算法的实现,用matlab作为开发环境-FcM matlab
TUTORIAL
- 几个网络的生成程序度,度分布,聚类数 -some net matlab show,degree degreedistrict
meimei
- matlab聚类分析方法,利用c均值方法对IRIS数据进行聚类分析-matlab cluster analysis methods using c mean clustering analysis of IRIS data
K-means
- kmeans算法代码,已经通过验证,可以正常使用,没有病毒
zcf
- 比较的聚类- 1信息为基础的距离matlab仿真自编代码-Clustering comparison- 1 information-based simulation of self from the matlab code
L2_distance
- 流形学习最常用的算法LE算法,可在此基础上进行修改或和其他算法相结合,实现更优的聚类效果。(Manifold learning, the most commonly used algorithm, LE algorithm, which can be modified on this basis, or combined with other algorithms to achieve better clustering results.)
simple linear iterative clustering for matlab
- 超像素图像分割方法,简单线性迭代聚类,用于自然影像/遥感影像分割等(superpixel image segmentation, simple linear iterative clustering)
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)
kMeans
- matlab欧几里得公式,最终输出一张聚类图(Matlab Euclidean formula)
k-means-master
- just a silly k-means implementation in MATLAB. 简单的用MATLAB实现的kmeans算法(just a silly k-means implementation in MATLAB.)
BA_net
- 生成BA无标度网络,输出平均度,聚类系数(Generating BA scale-free network, output averaging, clustering coefficient)
TSOCD
- 对动态蛋白质进行聚类分析的一种时间顺滑矩阵模型(A time slip matrix model for clustering analysis of dynamic proteins)
Matlab Cluster Analysis
- 运用Matlab中的一些基本矩阵计算方法,通过编程实现聚类分析。(Using some basic matrix calculation methods in Matlab, clustering analysis is implemented through programming.)