搜索资源列表
CVPRtoolbox-revision97
- 该工具箱的目的是要帮助人们理解计算机视觉方法引用另一种为在 matlab 的源代码。 因此,一些方法被 re-implemented,即使当其源代码不可用时,matlab 最初,具有方法。 例如 re-implemented kmeans 算法。-The aim of this toolbox is to present source codes in matlab as another kind of references for helping people to understan
KMEANS
- 基于c++的k-means聚类分析算法,实用性很强-Cluster analysis algorithm
kmeans
- kmeans.c from opencv
kmeans
- 这是kmeans算法的c++实现,很实用-the kmeans algorithm _c_c++ achieve
kmeans--C---
- 这是kmeans算法的c语言实现,区分c-Kmeans algorithm c language, distinguish c++
k_algorithm
- kmeans c++实现,主要用欧氏算法,计算距离-kemans c++
KMeans
- kmeans的算法,利用欧氏距离来算,c-kmeans c++
kmeans
- kmeans聚类,c++源代码,任意中心点选择,迭代到收敛-kmeans clustering
Kmeans
- C++控制台程序,实现的是K均值聚类算法,可供初学者参考。-C++ console program, realize that K-means clustering algorithm, for beginners reference.
Kmeans
- 本程序是C++控制台程序,实现K均值分类,可供初学者参考。-C++ console program, to achieve the K-means classification reference for beginners
KClustering
- 用c++写的kmeans算法的一个小Demo-a small Demo for kmeans algorithm
Kmeans
- Implementation of K-means algorithm used for vector quantization and clustering in C#
kmeans
- this is k-means clustering in c-this is k-means clustering in c++
KMeans
- K-Means++算法的c语言实现,主要对大数据利用K—Means++算法进行分类-K-Means++ algorithm c language, mainly on the use of large data classification algorithm K-Means++
kmeans-snake-hough
- kmeans、snake、hough三种算法的c++代码,其中,kmeans进行分类,snake进行图像套索,hough进行找圆、直线等功能-kmeans, snake, hough three algorithms c++ code, which, kmeans classify, snake image lasso, hough were looking for circles, lines, and other functions
kmeans
- 用c++实现c均值聚类算法,并行计算实现该方法。-c-means c++
zryng
- 很好的kmeans算法,用C编写,输入:簇的数目K 和包含N 个对象的数据集 输出:K 个簇,使平方误差准则最小()
Kmeans故障聚类
- C语言做的聚类学习的旋转机械故障诊断,已经经过验证,可以作为参考。(C language clustering learning of rotating machinery fault diagnosis has been verified, and can be used as a reference.)
Clustering
- 1) 使用凝聚型层次聚类算法(即最小生成树算法)对所有数据点进行聚类,最后聚成3类。相异度定义方法可选择single linkage、complete linkage、average linkage或者average group linkage中任意一种。 2) 使用C-Means算法对所有数据点进行聚类。C=3。 任务2(必做): 使用高斯混合模型(GMM)聚类算法对所有数据点进行聚类。C=3。并请给出得到的混合模型参数(包括比例??、均值??和协方差Σ)。 任务3(全做): 1) 参考数据文
KMEANS
- C++编程实现数据挖掘中的聚类分析 使用K均值算法(C++ programming to achieve data mining clustering analysis using k-means algorithm)