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kmeans
- k-means 算法接受参数 k ；然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。-K-means algorithm accept parameter k Then will the n of prior input data object is divided into k clustering to make won clu
K-mean
- 最近邻分类器是一个用来聚类的算法，可以用来对iris数据进行聚类-k-means is a neanest alogorim
Clusters
- K-均值聚类算法和分层聚类算法的C语言实现。包含有样本数据文件，适用于聚类算法的初学者。-K-means clustering algorithm and hierarchical clustering algorithm in C language. Clustering algorithms for beginners.
PSO_K
- 粒子群与K均值聚类的混合算法，值得拥有。-PSO and the hybrid K-means clustering algorithm, worth having.
kmeans
- K均值聚类算法,短小实用。可以试一试哈。-k-means cluster. Matlab Code.
KMeansAlgorithmCPP
- 本代码能够实现的是模式识别中的一种分类方法-k均值聚类算法-This code can be met is a kind of pattern recognition of the classification method-k-means clustering algorithm
K_means
- K均值聚类，适合初学者学习，有详细备注。-K means segmentaion is suitable for the fresher,ditial applitation.
KLS_RBF1
- 有归一化的基于k均值聚类和LS的matlab程序，神经网络算法-rbf based on k-means and ls，with standard
k_means
- 功能完善的、代码简单清晰、注释良好的k均值聚类算法-The function is perfect, code simple clear, annotation good k-means clustering algorithm
K_means
- k-means算法是根据聚类中的均值进行聚类划分的聚类算法。 输入：聚类个数k，以及包含n个数据对象的数据。 输出：满足方差最小标准的k个聚类。
C_Means
- K均值聚类是模式识别中非常重要的一种方法，通过K均值聚类可以将具有相同属性的元素进行聚合。-K-means clustering is a very important one in the pattern recognition method, polymerization by K-means clustering with the elements of the same property.
C_mean_face
- k均值聚类，能够实现最简单的k——均值聚类，在模式分类中具有重要用途-k-means clustering, to achieve the simplest k- means clustering, pattern classification purposes
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
kmeans
- K均值聚类算法，此算法自动把数据组聚类分割，效果很好-K-means clustering algorithm, this algorithm automatically data set clustering segmentation with good results
kmeans_c
- K-MEANS算法是输入聚类个数k，以及包含 n个数据对象的数据库，输出满足方差最小标准的k个聚类。-K-MEANS algorithm is the input number of clusters k, and includes n data object database, and outputs k clusters to meet the minimum variance standard.
k-meansalgorithm
- 上传的代码得到的数据部分是根据计算机随机生成的，在看代码的时候有个生动的例子看起来是很好的。k-means算法的聚类特征依然是距离特征-Upload the code to get the data part is randomly generated according to the computer, there is a vivid example, when looking at the code looks good. k-means algorithm clustering feat
Desktop
- k均值聚类及自组织映射（SOFM）算法应用 二维模式矢量的分类-k-means clustering and self-organizing map (SOFM) algorithm is applied two-dimensional mode vector classification
Kmeans
- 网上到处都是一维k均值聚类，而这是一个二维k均值聚类的代码，老外写的，说明较详细，稍加修改就可以融入自己的项目中。-Everywhere online one-dimensional k-means clustering, which is a two-dimensional k-means clustering code, written by foreigners, the more detailed, slight modifications can be integrated into
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
Untitled3
- K均值聚类分析，好东西啊，想认真学习matlab的认真看下-K-means clustering analysis, a good thing, ah, want to seriously look carefully to learn matlab