搜索资源列表
K均值
- 本程序通过k均值算法对两类进行分类。通过任意选择初始点，由k均值很快找到两类的中心点-the procedure k means algorithm to classify two types. Through arbitrary choice initial point, k Mean quickly found two focal point
K均值算法
- 实现K均值算法，读取文件，实现K均值的分类。-K-means algorithm to achieve, reading the paper, K-mean achievement category.
k_mean_binary
- 是对K-mean算法的数据分析处理,运行时需输入数据,其中有参考数据,希望对大家的学习有所帮助-of K-mean algorithm for data analysis, run-time required to input data, including reference materials, we hope to learn some help
image
- 基于纹理度量的图像分割，适用于遥感图像，利用到K-mean算法-texture measurement based on the image segmentation, applicable to remote sensing images, the use of K-mean algorithm
knn
- k最邻近算法，经典的分类算法，绝对有帮助-k-nearest neighbour algorithm,it is a classical algorithm for text cluster
Fast-K-means-clustering
- Fast mex K-means clustering algorithm with possibility of K-mean++ initialization (mex-interface modified from the original yael package https://gforge.inria.fr/projects/yael) - Accept single/double precision input - Support of BLAS/OpenMP
kmeans-image-segmentation
- K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm
rbf_Kmeans
- Matlab环境下实现的RBF神经网络K均值聚类算法-Matlab environment to achieve the RBF neural network K-means clustering algorithm
KClustering
- k-聚类算法-k- gathers a kind of algorithm
k-mean
- 简单的k_mean算法 对k均值算法学习很有帮助，也可以在此基础上学习改进算法-Simple algorithm for k-means algorithm k_mean very helpful, you can learn on the basis of improved algorithm
K
- 是基于MATLAB软件编的小程序。该程序是K均值算法，应用于模式识别中-K-mean algorithm
k-mean-clustering
- k-means algorithm descr iption with examples with visual basic code.
K-mean
- 聚类算法中的k-means算法，和k-medoids 肯定是非常相似的。k-medoids 和 k-means 不一样的地方在于中心点的选取，在 k-means 中，我们将中心点取为当前 cluster 中所有数据点的平均值。-Clustering algorithm k-means algorithm, and k-medoids certainly very similar. k-medoids and k-means not the same place that the center o
k-means
- K均值算法，将数据矩阵命名为data，设置聚类簇个数k，可对多维数据进行聚类。-K mean algorithm, the data matrix is named data, set the number of clusters K, can be used to cluster the multi-dimensional data.
k
- k mean algorithm implementation using random cluster centroid
K-mean
- 关于运用K均值算法进行简单的图像分割的代码(On the use of K-means algorithm for simple image segmentation code)
K均值聚类在基于OpenCV的图像分割中的应用
- 介绍了传统的图像分割与K-均值聚类算法分割，然后利用OpenCV函数将其实现，并介绍了OpenCV中图像分割相关的基本函数。(This paper introduces the segmentation of traditional image segmentation and K- mean clustering algorithm, then uses OpenCV function to implement it, and introduces the basic functions of
k均值聚类
- 用VC++写的K均值聚类算法，可以直接使用(K mean clustering algorithm is written by VC++ , which can be used directly.)
聚类分析
- 聚类分析算法 k均值算法 对地图上的点进行聚类事例(Clustering analysis algorithm k mean algorithm for clustering of points on maps)
K-means
- 利用MATLAB实现K均值聚类算法，加深对该算法的理解。(We use MATLAB to achieve K mean clustering algorithm to deepen our understanding of the algorithm.)