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k_mean_uv
- 利用k—mean算法根据U、V进行聚类分块，最后完成图像分割，分割出得块用不同的灰度等级表示出来。-K-mean algorithm to cluster sub-blocks according to the U, V, to finalize the image segmentation, segmentation have blocks with different gray levels represented.
K_means_color_segmentation
- k-mean算法，对入学者有研究意义，可以了解图像的分割算法基本原理-k-mean algorithm, enrollment research, you can learn the basic principles of image segmentation
K-mean-clustering-algoritm
- k均值聚类算法，帮助学习、使用，欢迎下载、-k-means clustering algorithm to help learn, use, welcome to download,
amend1
- 用C语言实现的K均值聚类算法，一共有3个类，并且给出了150个样本点，样本点为四维数据-Those files implements the function of classifying the four dimensional data by using the K-mean algorithm.
Untitled
- k-mean算法，使用matlab工具箱工具对图像进行聚类分割。-k-mean algorithm, using matlab clustering toolbox tool for image segmentation.
Untitled2
- k-mean算法，使用matlab工具箱工具对图像进行聚类分割。-k-mean algorithm, using matlab clustering toolbox tool for image segmentation.
K-Mean
- Kmeans 聚类算法的实现 测试， 内部包含 Kmode选项-Implementation of Kmeans cluster algorithm and testing, internal options include Kmode
k_mean
- k-mean算法实现，总要是完成数据的聚类，寻找中心点的程序！-k-mean algorithm, if the completion of the total clustering of data, find the center of the program!
PRJ_Final
- K-mean Algorithm Initialisation: set seed points Assign each object to the cluster with the nearest seed point Compute seed points as the centroids of the clusters of the current partition (the centroid is the centre, i.e., mean point, of th
IMAGEPROCESS
- 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。-Image segmentation based on texture measurement, suitable for remote sensing image, using K-mean algorithm
graph_kmean_1cen
- Graph K-mean algorithm using 1 replaced centroid
kjunzhi
- 利用k均值算法将两个female和male包含身高与体重的100个样本进行类别数为2的聚类-Using the K mean algorithm, 100 female and male were clustered with two samples of height and weight for 2 of the clusters.
k_means
- K-mean 算法是 J.B.MacQueen 在 1967 年提出的，是到目前为止应用最广泛最成熟的一种聚类分析方法。因该算法具有简单快速、适于处理大数据集等优点，目前，已被广泛应用于科学研究和工业应用中。-K-mean algorithm is JBMacQueen proposed in 1967, is by far the most mature and most widely used of a clustering analysis. Because the algorithm i
K-means-cluster
- k-means算法是一种动态聚类算法，基本原理如下[24]：首先预先定义分类数k，并随机或按一定的原则选取k个样品作为初始聚类中心；然后按照就近的原则将其余的样品进行归类，得出一个初始的分类方案，并计算各类别的均值来更新聚类中心；再根据新的聚类中心对样品进行重新分类，反复循环此过程，直到聚类中心收敛为止。-K- means algorithm is a dynamic clustering algorithm, the basic principle of [24] as follows: fi
KMeans.m
- 基于matlab平台的数据挖掘K-mean算法，能够有效实现功能-Matlab platform based on data mining K-mean algorithm can effectively achieve functional
新建文件夹
- K均值算法 简单的模式识别的算法 有详细的代码解释(Kmeans K mean algorithm simple pattern recognition algorithm has detailed code interpretation)
RBF-k均值聚类
- RBF（径向基神经网络）网络是一种重要的神经网络，RBF网络的训练分为两步，第一步是通过聚类算法得到初始的权值，第二步是根据训练数据训练网络的权值。RBF权值的初始聚类方法较为复杂，比较简单的有K均值聚类，复杂的有遗传聚类，蚁群聚类等，这个RBF网络的程序是基于K均值聚类的RBF代码。(RBF (radial basis function network) is an important neural network. The training of RBF network is divided
AP聚类
- AP聚类算法是基于数据点间的"信息传递"的一种聚类算法。与k-均值算法或k中心点算法不同，AP算法不需要在运行算法之前确定聚类的个数。(AP clustering algorithm is a kind of clustering algorithm based on "information transfer" between data points. Unlike the k- mean algorithm or the k center point
k_mean
- K—mean算法的matlab实现，适合算法初学者，可加深对其的理解(Matlab implementation of K - mean algorithm)
改进的基于划分算法的三维点云聚类matlab实现
- 根据网上基于划分法k-means的聚类算法，我做了改进。可以预设一个最大的类数和一个半径，自动划分合适的类。最终将随机三维点云聚类完成后显示为不同颜色。(According to the clustering algorithm based on partition K-means on the Internet, I improved it. A maximum number of classes and a radius can be preset to automatically divi