搜索资源列表
kmeans
- C# 聚类k-means 建立tf*idf的聚类过程-C# cluster for every one
2299
- 解决了基于核函数的模式聚类划分问题，K均值算法是一种很经典算法-Solve the clustering based on kernel mode partition problems, K means algorithm is a classic algorithm
Ikmeanssm
- 改进的k-means方法，对聚类的实例节能型加权 少数类多数类的函数-Improved k-means clustering instance, energy-efficient weighted minority class and majority class of functions
kmeans
- K均值算法,对三维坐标点进行K聚类，注释详细，适合初学者。-K-means classify
dis_k
- k均值的聚类算法，用于实现聚类，非常好用-k-means clustering algorithm for clustering, and very easy to use
pujulei
- 简单能运行的谱聚类，调用k均值算法，需要自行确定K值-Simple spectral clustering can run, call the k-means algorithm, needs to determine the value of K
kmeans
- 利用k-means算法进行聚类，K-means算法以欧式距离作为相似度测度，它是求对应某一初始聚类中心向量V最有分类，使得评价指标J最小。算法采用误差平方和准则函数作为聚类准则函数。-Algorithm using k-means clustering, K-means algorithm Euclidean distance as a similarity measure, it is the pursuit of the vector V corresponding to a initial
cluster
- 实现聚类分析的几种典型算法，包括Greedy、K-Means、FCM、Xie-Beni等。可以对提供的几个数据库文件进行聚类操作，并显示和统计结果的各项数据。程序具有基于C#的图形界面，操作直观方便。-Cluster analysis of several typical algorithms, Greedy, K-Means, FCM, Xie-Beni, etc.. The cluster provides several database files, and display the da
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
Kkmeans
- 使用数挖掘的K-Means算法实现聚类。-Use several mining K-Means clustering algorithm.
KMEANS
- K-means算法，一种典型的动态聚类算法，实现2维数据的聚类-K-means algorithm, a typical dynamic clustering algorithm to achieve two-dimensional clustering
K_KMeans
- 使用k-means算法对未知协议帧的聚类-use kmeans algorithm to cluster
fun_traindic_kmeans
- kmeans 聚类算法，主要用来对一堆数据形成他们的码本-k-means clustering is a method of vector quantization originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which ea
Classifacation
- qt程序，k均值系统聚类分析，模式识别第二章作业-qt program, k-means clustering analysis, pattern recognition chapter jobs
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
clustering-algorithm
- K-Means动态聚类算法源程序，K-means算法进行了重点分析，K-means算法是最为经典的根据聚类中的均值进行聚类划分的聚类算法-Source dynamic clustering algorithm K-Means program, K-means algorithm are analyzed, K-means algorithm is the most classic based on K-means clustering in the clustering algorithm fo
k_meansMethod
- 聚类分析中的划分聚类算法的k-means算法（随机选取矩阵数据）-Partition clustering algorithm in clustering analysis of k- means algorithm (random matrix data)
MachineLearning
- 用来对鲍鱼进行聚类的K均值算法，聚类结果以平行坐标系方式显示。-K-means clustering algorithm is used for abalone, the clustering results in a parallel coordinates display mode.
cluster-test-VO.2
- 基于C++语言，利用K均值及其改进方法实现短文本的聚类，其中利用最远距离法实现的聚类中心初始化-Based on the C++ language, the use of K-means clustering and improved methods to achieve short text clustering centers which use the law to achieve the most remote initialization