搜索资源列表
k_means
- 用最简单的方法来实现kmeans聚类，具有不错的效果-The most simple way to achieve kmeans clustering, with good results
k_means
- 一个简单的k-means分类方法，有详细的解释，能直接运行的。-A simple k-means classification method, and a detailed explanation can be run directly.
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
k_means
- k均值的 咱们做非监督分类都用过 不想理解他的原理吗 很重要-k mean we do not want unsupervised classification are used to understand his theory is very important to you
k_means-1982
- kmeans算法，用于结局聚类分析等问题-kmeans algorithm for cluster analysis of outcomes and other issues
k_means
- 首先从n个数据对象任意选择 k 个对象作为初始聚类中心；而对于所剩下其它对象，则根据它们与这些聚类中心的相似度（距离），分别将它们分配给与其最相似的（聚类中心所代表的）聚类；然后再计算每个所获新聚类的聚类中心（该聚类中所有对象的均值）；不断重复这一过程直到标准测度函数开始收敛为止。一般都采用均方差作为标准测度函数. k个聚类具有以下特点：各聚类本身尽可能的紧凑，而各聚类之间尽可能的分开。-First, a data object from the n choose k objects as in
alc850_a64
- my Cv is in English.Please send me C++ program about k_means algorithm
K_means
- 很好k-means聚类，很好的matlab源码-Good k-means clustering, a good source matlab
k_means
- 实现K-means算法，高斯随机分布抽取数据 利用k-means算法实现分类-Implement K-means algorithm to extract the data using Gaussian random distribution of k-means classification algorithm
GA-k-means
- GA-k-means算法 基于遗传算法的k_means聚类方法的研究(33-48)-GA-k-means algorithm
K_means-matlab
- kmeans算法matlab 实现，可以处理2维数据集-kmeans algorithm matlab implementation, can handle 2-D data set
KmeansaKNN
- attached file contain two algorithm for classification.K_means and K Nearest Neiborhood. and related m_filles in matlab
k_means
- 一种聚类方法。就省略了概率估计这一步，而直接进行判别函数的设计。-one cluster algorithm.To estimate the probability of this step is omitted, and direct discriminant function design.
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
kMeansCluster
- 基于matlaB工具的一种简单的关于K_means聚类的算法-A simple clustering algorithm on K_means
k_means
- k均值处理流程： （1） 从 n个数据对象任意选择 k 个对象作为初始聚类中心； （2） 循环（3）到（4）直到每个聚类不再发生变化为止； （3） 根据每个聚类对象的均值（中心对象），计算每个对象与这些中心对象的距离；并根据最小距离重新对相应对象进行划分； （4） 重新计算每个（有变化）聚类的均值（中心对象）-k means
ideal_k_means
- matlab的k_means（k均值）算法的例子的实现。-the matlab k_means (k mean) algorithm example implementation.
K_means
- 用于实现K-MEANS聚类分析的C++代码-Used to implement the K-MEANS clustering analysis of the C++ code
k_means
- 用matlab实现k-means聚类算法，本程序将随机数据点分为三类-Using matlab to achieve k-means clustering algorithm, the program will randomly divided into three categories of data points
K_means
- 本项目是居于K均值聚类的思想，对灰度图像进行分割。-This project is the idea of living in the K-means clustering, the gray scale image segmentation.