搜索资源列表
KMEANSII
- 神经网络中的K均值聚类算法II： 1.KMIn为输入数据文本，其中，第一个参数为所要聚类点个数，第二个参数为聚类点的维数,第三个参数为所要求聚类的个数 2.KM2OUT为经过K均值聚类算法II计算后得到的结果-Neural network in K-means clustering algorithm II: 1.KMIn input data for the text, of which the first parame
Kmeans
- 在Visual C++.NET2003平台下实现聚类算法中的K-MEANS算法，对随机生成的点进行了聚类。使用单文档结构，并将聚类结果显示出来。-In the Visual C++. NET2003 platform clustering algorithm to achieve the K-MEANS algorithm, on randomly generated points in the cluster. Use a singl
KMeansCSharp
- k均值聚类的c#版本，我从网上找到的c版本经改造而成-k-means clustering of the c# version, I found from the Internet version of the modified form c
K_average
- K均值聚类算法,matlab编写,很好用-K means clustering algorithm, matlab prepared very well with
yizhongK-meanssuanfadeshixian
- 自己花费整整两个星期写出来的关于数据挖掘K-means算法的论文，论文中详细的进行了论述并提出了改进后的算法以及对比欢迎下载-Of them have to spend a full two weeks to write out data mining on the K-means algorithm thesis paper discussed in detail and put forward an improved algorit
k-means
- kmeans 算法实现，有需要的下载下去，有问题大家一起讨论啊，-kmeans algorithm, there is a need to download it, there are issues to discuss U.S. ah,
K_Means
- k-means是一种经典的聚类算法，这是用java实现k-means的源码，其中包括了测试数据文件-k-means is a classical clustering algorithm, which is used k-means realize java source code, including test data files
K_MEANS
- K-MEANS算法程序(MATLAB环境)-K-MEANS algorithm procedure (MATLAB environment)
clustering
- 一个聚类算法用K-mean处理后迭代，论文发表在PAK-A clustering algorithm with K-mean treatment iteration, papers published in the PAK
Kmeans
- 包含两个文件KMEAN.h,KMEAN.CPP,使用方法非常简单，将数据存成.dat文件，即可对其进行Ｋ均值聚类-Consists of two documents KMEAN.h, KMEAN.CPP, very simple to use, the data saved as. Dat file can be K-means clustering
image_compress
- 本程序利用奇异值分解对3通道彩色图像进行压缩分解，具体步骤如下： 压缩过程： 1. 选取子图像大小K值，把图像分解成M×M个子图像，IMG(s),s=1,2,…, M2，其中M=N/K，原始图像IMG大小为N×N。 2. 计算这M2个子图像的平均值average，对每幅子图像减去均值图像得到新图像。 3. 计算相关矩阵R，其元素定义为 。 4. 计算R的特征值与特征向量，计算每幅子图像与最大特征向量的内积，便得到编码
Kmeas
- 这是一个自己编的基于K均值聚类算法的图象分割软件，界面操作窗口化，很容易操作-This is an own-based K-means clustering algorithm for image segmentation software, the interface window of operation, it is easy to operate
TextureAnlysis
- TextureAnlysis.m实现遥感图像的纹理分析，以 方向邻域内的灰度均值 和 灰度共生矩阵的熵 作为纹理特征，使用k-means聚类。-TextureAnlysis.m the realization of remote sensing image texture analysis to the direction of the gray-scale neighborhood of the mean and the entrop
kmlocal-1.7.1.tar
- 高效的k-means算法实现，使用了k-d树与局部搜索等提高k-means算法的执行效率，同时包含示例代码，用c++代码实现。 Effecient implementation of k-means algorith, k-d tree and local search strategy are implementd to improve the effeciency, samples are included to show how
clustering
- 1. 分层次聚类法（最短距离法） 2. 最简单的聚类方法 3. 最大距离样本 4. K 平均聚类法（距离平方和最小聚类法） -1. Hierarchical clustering method (the shortest distance method) 2. The simplest clustering method 3. The maximum distance the sample 4. K average clu
stockAny
- 这是一个股票盘后数据分析系统基础底层,已经实现了基本的K线图的重现,RIS线,均线图的重现, 是在一个台湾高手发布的原码上修改的,现在支持通达信的股票数据格式.-This is a stock after the data analysis system based on the ground floor, has achieved a basic line graph K reproducibility, RIS line, aver
Clustering
- 数据挖掘算法。K-Means聚类数据挖掘算法。该算法是用Java语言编写的。-Data mining algorithms. K-Means clustering algorithm for data mining. The algorithm is a Java language.
knearest
- k近邻算法的c++实现，在vs2003上编译通过-k neighbor algorithm c++ realize, in the VS2003 compiled through
KFCM
- 基于粗糙熵和K-均值聚类算法的图像分割 -Based on Rough Entropy and K-means clustering algorithm for image segmentation
Kmeans
- 基于粗糙熵和K-均值聚类算法的图像分割 基于粗糙熵和K-均值聚类算法的图像分割-Based on Rough Entropy and K-means clustering algorithm for image segmentation based on rough entropy and K-means clustering algorithm for image segmentation