搜索资源列表
K-junzhi
- 这是K均值聚类算法的程序,应用相当广泛的,比如在模式识别里就很重要.-This is the K-means clustering algorithm, application fairly extensive, such as pattern recognition is important to Lane.
Keans
- 采用K均值聚类算法的原程序，能够对灰度图像进行据类方法分割
unsupervisedClassification
- 非监督分类程序，MATLAB环境，采用K均值算法，通过初始聚类中心逐次迭代而得到所要分类，并输出分类后的图像。-Non-supervised classification procedures, MATLAB environment, using K-means algorithm, the initial cluster center through successive iterations to be classified, and the output classification im
Salama
- 改进的Salama网络拓扑随机生成算法通用Matlab程序，在随机抛撒节点的时候使用了K均值聚类，网络节点分布均匀且疏密得当，边的分布也比较均衡。-Improved algorithm for randomly generated network topology Salama General Matlab program, when the nodes in the random throw using K means clustering, the network node density
Cmeansclusteringmethods
- 本算法在vc++6.0中进行实验。分别就分解聚类和C-均值聚类两种方法在IRIS数据集上进行操作。分类前先将数据集中的样本顺序打乱形成混合数据。分解聚类中，采用前100个样本用对分法编制程序将数据分为两类。C-均值聚类采用全部的150个样本，将类别参数K设为3，将数据分为三类。-The algorithm in vc++6.0 in the experiment. Separate cluster and decomposition of two C-means clustering metho
clustering-algorithm
- 聚类算法有很多种，该程序是基于K-均值聚类算法，主要用于图像的分割-There are many clustering algorithms, the program is based on the K-means clustering algorithm, mainly used for image segmentation
K-image-RGB
- 用C语言实现一张BMP图像的所有点的RGB的K-均值聚类程序，生成两个聚类中心。可根据具体情况稍作修改后直接调用。-VC6.0 digital image RGB
K
- 这是K均值聚类的程序，数据挖掘等课程都需要-This is a K-means clustering procedures, data mining courses
Image-Classification-VCPP-Programme
- 用C++语言编写的MFC程序，用K均值和ISODATA算法实现BMP影像的自动分类。提供良好的交互接口，用户可在图像上选择初始聚类中心和设定分类相关参数。适合作为初学者学习分类算法和MFC编程的参考资料。提供了文档说明程序的操作过程。-MFC program with C++ language, K-means and ISODATA algorithm to achieve the automatic classification of BMP images. Provide a good i
rbf111222
- 几个RBF的matlab程序，聚类，k-均值，预测，建模-Several RBF matlab procedures, clustering, k-means, forecasting, modeling
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.
KmeansCluster
- K均值聚类,自编的能够运行的K均值聚类程序，可用于聚类分析-K-means clustering，Self capable of running K-means clustering procedure that can be used cluster analysis
kmeans
- K均值程序，能正常运行，是聚类算法的一个典型示例-K-means the program can run normally, is a typical example of clustering algorithm
ap-Code
- 本程序为仿射传播聚类的算法，相比较于K均值聚类不需要确定聚类个数，且对初始聚类中心不敏感-This procedure for affinity propagation clustering algorithm, compared to K-means clustering is not required to determine the number of clusters, and is not sensitive to the initial cluster centers
Fuzzy-k--clustering
- 模糊K均值聚类算法的matlab程序，很实用，很有针对性。-K fuzzy means clustering algorithm matlab procedures, very useful and very targeted.
qenban
- 基于K均值的PSO聚类算法,包含优化类的几个简单示例程序，Gabor小波变换与PCA的人脸识别代码。- K-means clustering algorithm based on the PSO, Optimization class contains several simple sample programs, Gabor wavelet transform and PCA face recognition code.
《MATLAB统计分析与应用》程序与数据
- 数据的导入导出，将数据写入到txt，从TXT读取数据；数据预处理，归一化处理；聚类分析，K均值聚类等(Import and export data, write data to TXT, read data from TXT, data preprocessing, normalization processing, clustering analysis, K clustering, etc.)
常用聚类
- 常用聚类的MATLAB程序，调试均可用。包含k均值聚类、模糊C均值聚类、模糊减法聚类、谱系聚类(Common clustering MATLAB program, debugging are available. Including k-means clustering, fuzzy C-means clustering, fuzzy subtraction clustering, pedigree clustering)
k-means程序
- 介绍了k-means 均值聚类，能很好的将离散的点，聚类成几个指定的聚合点。(The K-means mean clustering is introduced, and the discrete points can be well clustered into several designated aggregation points.)
49779421k-mean
- k均值聚类程序，虽然matlab中也有自带的，但是这个速度不错。(K mean clustering program, although matlab also has its own, but this speed is good.)