搜索资源列表
Classifier
- 一个半监督数据流集合分类器程序，其中每个单分类器采用k均值聚类算法。-A semi-supervised data flow classifier using k-means clustering algorithm.
DM_YeDan
- KNN(K最近邻)分类算法以及K-means(K均值)聚类算法是应用广泛的两种算法。本代码是在VS2010环境下，用 C++语言在基于KNN及K-means算法下，实现了对Iris数据集的分类与聚类。-KNN (K nearest neighbor) classification algorithm, as well as K-means (K mean) clustering algorithm is widely used two algorithms. The code VS2010 en
RBF_k.m
- 3.基于k均值聚类的RBF 网设计算法 - 3. RBF network design algorithm based on k-means clustering.
Desktop
- k均值聚类及自组织映射（SOFM）算法应用 二维模式矢量的分类-k-means clustering and self-organizing map (SOFM) algorithm is applied two-dimensional mode vector classification
kMeansCluster
- k均值聚类算法Matlab代码实现,可以直接运行-k-means clustering algorithm Matlab code to achieve, can be run directly
Kmeans
- 网上到处都是一维k均值聚类，而这是一个二维k均值聚类的代码，老外写的，说明较详细，稍加修改就可以融入自己的项目中。-Everywhere online one-dimensional k-means clustering, which is a two-dimensional k-means clustering code, written by foreigners, the more detailed, slight modifications can be integrated into
km
- 对于多类划分我们常用k均值聚类 这个程序实现了对图像的多类聚类-Divided we used k-means clustering procedure for multi-class, multi-class clustering images
Kmean
- K均值聚类的源代码，而且是采用ＶＣ＋＋来完成，效果不错，欢迎大家下载-K-means clustering source code, and using VC++ to complete, good results are welcome to download
Kmeans
- k均值聚类算法，可以有效的找到聚类中心，并且把两类聚在一起，很经典实用。-k-means clustering algorithm, can effectively find the cluster center, and the two categories together, very classic.
k_mean
- 在聚类分析中，K-均值聚类算法（k-means algorithm）是无监督分类中的一种基本方法，其也称为C-均值算法，其基本思想是：通过迭代的方法，逐次更新各聚类中心的值，直至得到最好的聚类结果。 -In cluster analysis, K-means clustering algorithm (k-means algorithm) is unsupervised classification is a basic method, which is also known as C
kMean
- k-means 算法接受参数 k ；然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。-k-means clustering
k
- k均值算法，数据挖掘里面比较基础的算法，实现类聚-k-means algorithm, which based on the comparison of data mining algorithms to achieve clustering
Untitled3
- K均值聚类分析，好东西啊，想认真学习matlab的认真看下-K-means clustering analysis, a good thing, ah, want to seriously look carefully to learn matlab
k_means
- k均值聚类算法，使各个样本与所在类均值的误差平方和达到最小，并且附有显示程序-k-means clustering algorithm, where the class so that each sample and the mean squared error to a minimum, and with the display program
K_mean_julei
- 这是一个用k均值聚类的matlab 程序 程序对高维数据利用k均值进行了聚类-This is a k-means clustering matlab program procedures for high-dimensional data for the use of k-means clustering
src
- k-means 算法接受参数 k ；然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。-k-means algorithm accepts parameters k n and the previously input data is divided into k-clustering objects in order to make
secai
- 简单的K均值聚类法，本文中选用了5个聚类中心点，具体的聚类中心个数可以参考灰度直方图来选取-Simple K-means clustering method, this paper has selected five cluster center, the specific number of cluster centers can refer to the histogram to select
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.
kfuzzy
- k均值聚类算法，可自定义输入聚类数，能仿真出结果-K-means clustering algorithm, and can be custom clustering number, input to the simulation results
Kmeans
- K均值聚类的代码，完整程序，有实验结果RGB显示，结果图和相应的灰度直方图-K-means clustering code, complete procedures, RGB is the result of the experiment showed that the figure and the corresponding gray histogram