Research on K-means clustering algorithm and its implementation
K-means algorithm is a kind of clustering analysis based on partition algorithm,it through constant iteration to clustering,when algorithm converges to an end conditions,and the output iterative process termination clustering results.Because its algorithm is simple,and easy to realize thoughts of large-scale data clustering,so k-means algorithm has become one of the most commonly used one of the clustering algorithm.K-means algorithm can find about clustering error local optimal solution,be applied in many clustering on the question of the rapid iteration algorithm.In this paper,we deeply research and analysis of the K-means clustering algorithm in the cluster analysis and analysis of its advantages and disadvantage,finally,we implement the K-means and do an experiment for application.
Keywords K-means Clustering center Data mining algorithm
Jianming Cui Jianming Liu Zhouyu Liao
Guilin University of Technology School or College of Information science and engineering Guilin,China
国际会议
杭州
英文
1805-1807
2013-03-22（万方平台首次上网日期，不代表论文的发表时间）