搜索资源列表
kmean
- 包括K-均值聚类算法的思想介绍，kmeans的MATLAB代码，c语言代码、c++代码。-Including the K-means clustering algorithm introduced the idea, kmeans of MATLAB code, c language code, c++ code.
MATLAB
- 层次模糊聚类的算法实现，一个用C或者C++写的kmeans算法，最新的聚类算法-Level fuzzy clustering algorithm, one using C or C++ written kmeans algorithm, the latest clustering algorithm
mpi_kmeans-1.5
- Super-fast kmeans code in C++/matlab/python
kmeans
- function [L,C] = kmeans(X,k) KMEANS Cluster multivariate data using the k-means++ algorithm. [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class label per column in X and a size(X,1)-by-k matrix C containing the centers
ClusteringAlgorithm
- 包含Kmeans聚类，最大最小聚类，最近邻聚类，层次聚类的C++编程(C++ programming including Kmeans clustering, maximum and minimum clustering, nearest neighbor clustering and hierarchical clustering)
cecm1
- constrained evidential c means
statistics_kmeans
- K-means算法是一种硬聚类算法，根据数据到聚类中心的某种距离来作为判别该数据所属类别。K-means算法以距离作为相似度测度。(kmeans uses the k-means++ algorithm for centroid initialization and squared Euclidean distance by default. It is good practice to search for lower, local minima by setting the 'Replica
遥感影像变化检测方法
- 三种常用的遥感影像变化检测方法，包含模糊C均值，模糊局部信息C均值，PCA-Kmeans