摘要
K-means算法是一种基于距离的典型的聚类算法,采用以距离作为相似性的评价指标,认为两个对象的距离越近,其相似度就越大。通过K-means算法实验项目comb叙述Kmeans算法的实现,并进行了结果分析。
K-means algorithm is a kind of typical cluster analysis based on the distance,which takes the distance as the similarity evaluation index.The shorter the distance between two objects is,the more similar they are.Here we discuss the K-means algorithm with comb project,and analyze the results.
出处
《长春工业大学学报》
CAS
2014年第2期139-142,共4页
Journal of Changchun University of Technology
