%0 Journal Article
%T Research on Parallel k-means Algorithm Design Based on Hadoop Platform<br>基于云计算平台Hadoop的并行k-means聚类算法设计研究
%A ZHAO Wei-zhong
%A MA Hui-fang
%A FU Yan-xiang
%A SHI Zhong-zhi
%A <br>赵卫中
%A 马慧芳
%A 傅燕翔
%A 史忠植
%J 计算机科学
%D 2011
%I 
%X In the past decades, data clustering has been studied extensively and a mass of methods and theories have been achieved. However, with the development of database and popularity of Internet, a lot of new challenges such as massive data and new computing environment lie in the research on data clustering. We conducted a deep research on parallel k-means algorithm based onHadoop, which is a new cloud computing platform. We showed how to design parallel k-means algorithms on Hadoop. Experiments on different size of datasets demonstrate that our proposed algorithm shows good performance on speedup,scaleup and sizeup. Thus it fits to data clustering on huge datasets.
%K Cloud computing
%K Hadoop
%K Parallel k-means
%K MapReduce<br>云计算，Hadoop平台，并行k-means
%K MapReduce
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=17DDCED190714E79BEB7EA24FF34EE36&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=F3090AE9B60B7ED1&sid=43608FD2E15CD61B&eid=BBF7D98F9BEDEC74&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0