Physics ProcediaA clustering method based on K-means algorithm. Li Youguo,Wu Haiyan. Proceedings of International Conference on Solid State Devices and Materials Science (SSDMS) . 2012Youguo Li, Haiyan Wu, A clustering method based on K-means Algorithm (2012) Physics :...
Analyze and research the method of cluster analysis,analyze and compare many kinds of algorithms of cluster analysis,discuss their respective strengths and weaknesses.At the same time,according to the weaknesses of the cluster result of original k-means algorithm is significant influence by selecting ...
Text Clustering Algorithm Based on K-Means 针对K—means算法容易收敛到局部最优以及对初值的依赖性,基于多次采样一次预聚类搜索初始聚类中心的思想,提出了一种改进的K—means文本聚类方法.实验结果表明,改进的... 毛嘉莉 - 材料与冶金工程学院 被引量: 1发表: 2009年 结合双粒子群和K-means的混合文本聚类算法 ...
一、基于原生Python实现KMeans(K-means Clustering Algorithm) KMeans 算法是一种无监督学习算法,用于将一组数据点划分为多个簇(cluster)。这些簇由数据点的相似性决定,即簇内的数据点相似度高,而不同簇之间的相似度较低。KMeans 算法的目标是最小化簇内的方差,从而使得同一簇内的数据点更加紧密。 KMeans算法的...
k均值聚类算法(k-means clusteringalgorithm)是一种迭代求解的聚类分析算法,其步骤是,预将数据分为K组,则随机选取K个对象作为初始的聚类中心,然后计算每个对象与各个种子聚类中心之间的距离,把每个对象分配给距离它最近的聚类中心。聚类中心以及分配给它们的对象...
一种基于改进PSO的K-means优化聚类算法 An Optimized K-means Clustering Algorithm Based on Improved Particle Swarm Optimization 热度: A simple D2-sampling based PTAS for k-means and other… 热度: 一种基于k-means算法的V2X消息聚类方法及系统
Heuristic method:K-Means, K-Medoids 1.3.K-Means算法: a. 将数据分为k个非空子集 b. 计算每个类中心点(k-means<centroid>中心点是所有点的average),记为seed point c. 将每个object聚类到最近seed point d. 返回2,当聚类结果不再变化的时候stop ...
K-means聚类算法 1. Research on a method for building up a patent map based on k-means clustering algorithm 基于k-means聚类算法的专利地图制作方法研究 2. In order to obtain better clustering results,after analyzing the advantages and disadvantages of hierarchical and k-means clustering algorithms,...
A novel algorithm,the k-means clustering algorithm based on immune genetic algorithm (KMCIGA) is put forward.To improve the Genetic operators,the conception of concentration in the immune algorithm and the dynamic chromosome coding are used.Strategies and methods of selecting vaccines and constructing...
In the proposed method, finding an optimum „k? value is performed by Elbow method and clustering is done by k-means algorithm, hence routing protocol LEACH which is a traditional energy efficient protocol takes the work ahead of sending data from the cluster heads to the base station. ...