【摘要】 用k-means算法对二维数据进行聚类分析,并用C#语言实现了该算法。先按照样本点的距离进行初始划分,然后再按照各样本点和初始中点的距离远近进行聚类。结果表明,k-means算法对二维数据的聚类是有效的,实现该算法的程序对二维数据的聚类具有通用性。更多还原

【Abstract】 This paper uses k-means algorithm to analyse clusteredly two-dimensional data,and implements the algorithm in C# language.This algorithm makes initial division according to the distance between sample points,and then clusters them based on the distance between each sample point and initial midpoint.The result shows that k-means algorithm is valid to cluster two-dimensional data,and the procedure of the algorithm is applicable for clustering two-dimensional data.更多还原