搜索资源列表
k_mean
- 简单的k均值聚类算法，C++实现，将若干点聚类为两类-A simple k-means clustering algorithm
K_C
- K均值算法C语言实现：算法描述: 给定类的个数K，将N个对象分到K个类中去， 使得类内对象之间的相似性最大，而类之间的相似性最小。-K means algorithm C language implementation: Algorithm Descr iption: for a given number of classes K, the N objects assigned to a class K to go, making within-class similarity be
em
- em算法，实现聚类，是k均值算法的拓展，希望对大家能有所帮助-em cluster
Image_Smoothing
- 所给程序中，先给出一副原始图像，在其中添加椒盐噪声，然后用几种方法进行平滑滤波，包括邻域均值法，邻域中值滤波和K邻域均值滤波，其中的K邻域均值滤波所选掩膜为3*3，K值取5，图片选用board.ti。-Given program, the first is given an original image, in which the added salt & pepper noise, and then use several methods of smoothing, including
K_means
- 模式识别中的聚类算法，读取文件，实现K均值的分类。-Pattern Recognition in the clustering algorithm to ensure that you can run the
IrisDataSet
- IrisDataSet Kmeans&K均值-IrisDataSet，Kmeansamp， K mean
KMEANS
- 实现k均值聚类算，输出聚类中心和聚类后的分组结果-To achieve k-means clustering calculation, the output cluster centers and cluster grouping of the results of post-
KmeansVC
- 用MFC倾力打造的K均值算法，附有数据集，该数据集4177行记录，8维属性的元组 界面友好，功能基本实现。-Using MFC gourmet k-means algorithm, with the data collection, data collection, 8 dimension record 4177 did the tuple. Attributes Friendly interface, basic function.
Kjunzh
- 模式识别中的K均值算法，学生自己编的，如有不足还请指正-Pattern Recognition in the K-means algorithm, the students themselves compiled and, if less than requested correction
K_means_c_plus_plus
- 本程序是数据挖掘领域知名的K均值Visual C++源代码-C++ sourse codes of K-Means using Data Ming
kmean2
- 本程序用k-均值聚类的方法实现图像二值化-This procedure using k means to achieve image binarization
Kmeansclustering
- 示例程序使用K均值聚类的方法实现了对位图图像的分割即轮廓提取，程序中附带一张位图，可直接打开查看效果、-Sample programs using the K-means clustering methods have been exported to a bitmap image segmentation or contour extraction, the program comes with a digital map, can be directly open the view resu
ordinary_algorithm_for_pattern_recognition
- 使用C语言实现的一些简单模式识别聚类算法，用于简单的二维坐标系点的聚类。有最短距离算法、K均值算法、近邻算法、fcm算法、最大最小距离算法。-Using the C language implementation of some simple pattern recognition clustering algorithm for a simple two-dimensional coordinate system point of clustering. Has the shortest di
r
- 结合颜色和纹理的改进K均值遥感图像聚类 传统k均值聚类效果更好-Combination of color and texture remote sensing images to improve K means clustering
200732590038
- 计算K均值分类的方法-Calculate K mean classification method. . . . . . . . . . . . . . . . . .
KmeansAlgorithm
- 实现k均值聚类算法，本算法可以随机设置初始测试集，也可以随机选取初始类。-K means algorithm The algorithm can set intial data set randomly。also can randomly choice initial data cluster
MyCluster
- 聚类算法中的k均值算法，里面已经包含一个文本聚类的实验。-Clustering algorithm k means algorithm, which already contains a text clustering experiments.
kjunzhifenlei
- K均值进行影像分类，遥感影像分类的方法有很多，如神经网络分类，C均值分类等，K均值分类是其中的一种。-Image Classification
k_meansc_meansCluster
- 基于k均值、c均值等聚类算法，应用于数据挖掘-Based on the mean k, c means clustering algorithm, etc., used in data mining
kmeans
- 一种改进的均值聚类算法，能很好的利用与图像分割技术-k-means cluster