搜索资源列表
ImageEnhancement
- K均值的图像分割 不错的程序 -kmeans-image-segmentation kmeans-image-segmentation kmeans-image-segmentation kmeans-image-segmentation
HCM
- HCM是模糊聚类，k均值算法 -hcm
k_means
- k均值聚类算法，可以完成k均值聚类运算。实现几个点的聚类-k means clustering algorithm, k means clustering operation can be completed. Clustering to achieve several points
ClusteringStatic
- 聚类分析算法,k均值聚类分析算法c++源码-clustering statics
kmeans
- 聚类算法 k均值 该算法简单 容易看懂 是基本的算法-kmeans clustering
k_means_cluster
- k均值聚类算法 ，c语言实现 了基于均值的聚类分析，同时增加了多维向量分析功能，使得聚类的收敛速度更快。-k means clustering algorithm, c language implemented based on the mean cluster analysis, while increasing the multi-dimensional vector analysis functions, making the convergence faster clustering.
K-means
- 均值为K的聚类算法，是一种对聚类数据进行的最简单的算法，广泛应用在各种场合中。-K mean clustering algorithm for clustering data is the most simple algorithm, widely used in various occasions.
K-means-cSharp--code
- k均值算法是模式识别的聚分类问题，这是用C#实现其算法-K-means algorithm is pattern recognition of poly classification problem, this is written in c# realize its algorithm
KMEANS
- k均值算法,C++文件，读入txt文件的方式实现-k means algorithm, C++ files, read txt file means to achieve
Kmeans
- k均值聚类算法代码 用于模式识别等学科的编程应用-k-means clustering algorithm code for pattern recognition applications such as programming disciplines
k_means
- K均值聚类，输入聚类前的点集以及阈值，输出最后各个分类的中心点-K-means clustering, the input point set before clustering and threshold, output the final classification of the center of each
kind
- candy边缘检测，彩色图像的边缘检测，K均值聚类，sobel边缘检测（C）其他是matlab程序-candy edge detection, color image edge detection, K-means clustering, sobel edge detection (C) the other is a matlab program
mean-K-KPCA
- 通过核 K- 均值聚类的方法对语音帧进行聚类 , 由于聚类的中心能够很好地代表类内的特征, 用中心样本帧取代该类, 减少了核矩阵的维数, 然后再采用稀疏 KPCA方法对核矩阵进行特征提取。-Through the nuclear K-means clustering method for clustering of speech frames, the cluster center can be a good representative of the class characteristics
K均值算法的基本简介
- 这是基本的K均值算法的原理以及简介！希望能帮助到大家
kmeans
- 基于k均值的无监督聚类算法，输出有各个样本的类别标签，目标函数在每次迭代后的值，聚类中心以及聚类区间。内有测试数据，点击 test.m 可以完美运行。(The unsupervised clustering algorithm based on K means outputs the class labels of each sample, the value of the target function after each iteration, the clustering center a
K均值对iris数据集聚类
- k-means算法对irisdata数据集进行聚类(The k-means algorithm clustering the irisdata datasets)
K均值对图像进行聚类分析
- 用k-means算法对图像进行聚类，适合于初学者(K-means algorithm for clustering images, suitable for beginners)
K均值分类
- 基于VS2010平台和openCV开发的，实现遥感影像的k均值分类(K mean classification for remote sensing images)
k-means
- k均值，数据已经有了，主要用于分类，美列都是一类数据，只用了其中一部分，数据是自己编的。(K mean, data already exists, mainly for classification, the United States column is a kind of data, only a part of the data is their own series.)
Kmeans
- 对已知数据进行k均值聚类，数据保存在txt文件(K mean clustering for known data)