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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
image-classification
- K均值算法和ISODATA算法的源码，用C++编写，内附一张TM的卫星影像作为实验数据，具体算法原理可以参考武大舒宁、马洪超、孙和利版的《模式识别》一书-The source code of K Means and ISODATA algorithm, written in C++, with a TM image attached. For concrete algorithm, you are referred to the book Pattern Recognition written
imageclustering
- 遥感图像处理，模式识别，用C++编写的K均值分类和ISODATA分类。-using the VC++6.0 tool to realize the imageclustering based on k-means and isodata
Pattern-Recognition
- 用C++实现了模式识别中K-均值算法的实现，并用于图像分类实现。-Pattern recognition C++ achieve the realization of the K-means algorithm, and used for image classification.
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
c_means
- 用vc++6.0编写的 c均值或者K均值算法-c-means algorithm
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
Kmeans
- 使用Java实现K-means（C均值）聚类算法-Using Java to achieve K-means (C mean) clustering algorithm
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.
Kmeans
- 本程序是C++控制台程序，实现K均值分类，可供初学者参考。-C++ console program, to achieve the K-means classification reference for beginners
keshe
- k均值法，主要是用c语言编程实现的，数据是模式识别课后的数据-K means clustering
FCMdemo
- 用模糊K均值（FCM）的方法对图像进行分类-fuzzy c mean clustering (FCM),segmentation
korcmeans
- 对于模式识别中的k均值（也称c均值）问题，给出了matlab实现。-pattern recognition for the k-means (also called c-means), is the realization of Matlab.
k_means_image
- 国外的一个图像K均值聚类的C++源代码，非常容易集成和使用，适合模式识别、图像处理等方面的开发！-an image abroad of K-means clustering of C source code, and is easy to integrate and use, suitable for pattern recognition, Image processing, and other aspects of development.
amend1
- 用C语言实现的K均值聚类算法，一共有3个类，并且给出了150个样本点，样本点为四维数据-Those files implements the function of classifying the four dimensional data by using the K-mean algorithm.
pic
- 用c#和emgucv实现了hough变换检测圆和最大类间方差和k均值聚类分割图像，k均值聚类的函数可填写分类数和迭代次数的阈值，而且是基于灰度的。（ps：函数都是自己实现的，但是读取图片信息用的是emgucv自带的函数）-With c# and emgucv achieved between hough transform circle detection and maximum variance and k-means clustering image segmentation, the fu
kmeans
- 数据挖掘中经典算法——K均值聚类算法的C语言实现-K-means algorithm in data mining
22
- 模式识别 ， C均值 ， K聚类 C++编写 -Pattern Recognition, C-means, K clustering C++ try to write
ISODATAaKmeans
- 模式识别中经典分类算法——K均值和ISODATA（迭代自组织数据分析算法）的C/C++代码-K-means and Iterative Selforganizing Data Analysis Techniques Algorithm in Pattern Recognition
cppVersion
- 模式识别C++ K均值算法，采用容器，对数据进行分类-k_means arithmetic