搜索资源列表
KNN
- K近邻算法（KNN）的matlab源代码，程序清晰易读-K nearest neighbor (KNN) of matlab source code, procedures legible
knn
- k最邻近算法，经典的分类算法，绝对有帮助-k-nearest neighbour algorithm,it is a classical algorithm for text cluster
KMEANS
- K-Mean聚类算法，对各种格式的图像进行分层聚类。-This is a K-Mean culstering aligroam.
gaknn2008-12-08
- 本算法是实现基于KNN的基因遗传算法，是对KNN算法的改进，具有更好的分类效果。-gaKnn[Genetic Algorithm Optimized K Nearest Neighbor Classification framework] is a frameowork for KNN optimization with a genetic algorithm.
k_means
- k-means(欧氏距离)聚类算法是最基本的聚类算法，是理解和应用聚类算法的基础，通过k-means(欧氏距离)聚类算法我们才可以初步了解数据挖掘的原理。-k-means (Euclidean distance) clustering algorithm is the most basic clustering algorithm, is understanding and the basis for the application of clustering algorithm, throu
kNN
- It s the kNN or else named k-Nearest Neabours algorythm, realized by the tools of Visual Studio developer system.
kmeans
- 基于C++的模糊k均值算法，采用的集成软件开发环境为vc-It is the codes of Fuzzy k-means,
K_means_clustering
- 一个K分簇聚类算法，简单，易于学习，可以进行扩展-A K sub-cluster clustering algorithm, simple, easy to learn
K-Means
- K-mean算法实现程序-K-mean algorithm program! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !
kmeanC
- k均值聚类算法的C++实现，在VC2003下调试通过。-k-means clustering algorithm C++ implementation, the VC2003 debug through.
k_means_cluster
- k均值聚类算法 ，c语言实现 了基于均值的聚类分析，同时增加了多维向量分析功能，使得聚类的收敛速度更快。-k means clustering algorithm, c language implemented based on the mean cluster analysis, while increasing the multi-dimensional vector analysis functions, making the convergence faster clustering.
k-means
- K近邻算法，对一段数据进行分类，word 说明文档-K nearest neighbor algorithm
k-meanssss
- 聚类算法中的经典k均值用c++实现的，测试结果还不错-Classical clustering algorithm k means in c++ implementation with the test results is not bad
K-average(N-dimension)
- K均值聚类算法实现有二维的聚类扩展到任意维样本点的聚类，代码中附加了详细的原理性说明，还有相关例子提示，效果不错-K-means clustering algorithm to achieve a two-dimensional clustering extends to any dimension of the cluster sample points, the code attached to the principle of detailed instructions, and tips
k-means
- 次算法基于欧式距离，用于数据挖掘k均值聚类算法,或者用于数据挖掘作业-for dating ,kmeans
K
- K 均值聚类程序，可以进行K均值聚类，是模式识别的一个重要算法-K-means clustering procedure, the K-means clustering is an important pattern recognition algorithm
K-Means-GA
- k-menas using genetic algorithm for centroid initialization
K-Meansl
- 自己编写了一个c++的k均值聚类算法，使用起来很方便，数据存储在txt文件里，可以 改成自己的数据，方便使用,目录里给了两组UCI机器学习数据库上的数据，供实验用 。可以用这个文件直接运行就好了，里面给出了详细的使用说明。-k means clustering by array.
K-expected
- 这是K—均值二维算法的C++实现，模式识别用的-This is a two-dimensional algorithm of K-means C++ achieved, and pattern recognition with
k-and-isodata
- 模式训别的k均值算法和isodata聚类算法c++实现，程序有较清楚的注释，且有word文档说明程序是如何实现算法的，对于刚接触模式识别的程序具有很好的启发作用，不足之处是没有用mfc完成界面编程-Mode of training to achieve other k-means algorithm and isodata clustering algorithm c++, procedures clearer notes and word documents that the program