搜索资源列表
kmeans
- K均值有效执行++多元数据的聚类算法。它已经表明,该算法具有的总群集内距离的期望值是日志(K)的竞争力的上限。此外,K -均值++通常远高于香草收敛K均值少。-An efficient implementation of the k-means++ algorithm for clustering multivariate data. It has been shown that this algorithm has an upper bound for the expected value o
GMM
- 高斯k均值程序算法,k-means是一种常用的聚类算法,可以实现数据的聚类。-K-means algorithm for Gaussian process, k-means clustering algorithm is a commonly used, can achieve data clustering.
Fuzzy-neural1
- 首先要对样本进行聚类分析,以此来确定模糊规则个数。利用K-means法对样本聚类。-First cluster analysis of samples, in order to determine the number of fuzzy rules. Method using K-means clustering of the sample.
Kmean2
- 随机产生的点进行K-means方法聚类,给大家做一个参考,随机数据的分类-Randomly generated points in K-means clustering method, to give you a reference, the classification of random data
cluster
- 本程序是一个利用k-means进行聚类的算法,本程序绝对可用,是我自己用过的一个小程序。-This program is a use of k-means clustering algorithm, the program is absolutely free, that I used a small program.
KM
- K均值算法的C++实现,能够将2维的样本点进行2类或者多类的聚类-K means
cluster
- 基因聚类 主要有数据的预处理和K-means算法的聚类-Gene cluster are pre-processing of data and K-means clustering algorithm
k_means
- k均值处理流程: (1) 从 n个数据对象任意选择 k 个对象作为初始聚类中心; (2) 循环(3)到(4)直到每个聚类不再发生变化为止; (3) 根据每个聚类对象的均值(中心对象),计算每个对象与这些中心对象的距离;并根据最小距离重新对相应对象进行划分; (4) 重新计算每个(有变化)聚类的均值(中心对象)-k means
k_junzhi
- K均值算法,这个算法适用于类别数为三的聚类算法-K-means algorithm, this algorithm is applied to the number of categories for the three clustering algorithms
Ncut_Sprectral_Clustering
- 基于Ncut谱聚类的例子,其中包含了SVM代替k-means的方法进行后续分类。-Example of Ncut spectrum clustering .
K_average
- 动态聚类的k均值算法,聚类的经典算法,没有改进,仅供初级选手学习。-Dynamic clustering k-means algorithm, clustering algorithm of the classic, no improvement, only for junior players learning.
Kmean_1
- Kmeans聚类算法的一个示例 是一个简单的程序但是体现了思想-a simple example of K-means algorthm which contains the core thinking method of clustering
KLS_RBF
- 基于k均值算法聚类和径向基网络的神经网络程序-rbf program based on k-means and ls
Distributed-Kmeans
- 分布式K-means改进算法,一种分布式的Kmeans聚类算法-Distributed K—means Clustering Algorithm
kk
- kmeans函数:输入为类别数量k和数据矩阵A;输出为聚类结果A,和迭代次数,并将聚类结果数据以excel形式保存在工作路径下-k-means clustering algorithm error-free very practical
philbinj-fastcluster-bf3d361
- 这是一个快速进行kmeans聚类的算法,里面有点乱,对于学习者可以下来看看,对于要进行快速开发者可能用不到。-This book and code is talk about k-means method for cluster.It is usefull for you who want to study the method.Thanks
isogroup
- 动态聚类中的isodata算法,与K-均值算法类似-The isodata dynamic clustering algorithm, K-means algorithm similar
7e1f02949ea1
- 数据聚类算法的一种K-means算法,可以用于模糊推理系统输入空间及规则数的确定-A data clustering algorithm K-means algorithm for fuzzy inference system of the input space and the number of rules to determine
kclustering
- 使用k均值法对一组数据进行聚类,画出结果图像-Use the k-means clustering, a set of data to draw the resulting image
julei
- 数组聚类分析代码,将数组中的数按照K-MEANS算法聚类-Array cluster analysis code, the array in accordance with the K-MEANS algorithm of clustering