Title :
K-means Algorithm Based on Cloud Computing
Author :
Yunfeng Xu ; Yan Zhang ; Rui Ma
Author_Institution :
Coll. of Inf. Sci. & Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Abstract :
This paper realizes the K-Means clustering algorithm in the cloud computing. the MapReduce programming ideas are applied to text clustering in hadoop platform, and improve text clustering processing speed on the basis of ensuring the accuracy of clustering. Experiments prove that the cloud computing can significantly improve the clustering algorithm processing speed.
Keywords :
cloud computing; pattern clustering; text analysis; Hadoop platform; MapReduce programming ideas; cloud computing; k-means clustering algorithm; text clustering; Algorithm design and analysis; Cloud computing; Clustering algorithms; Computer architecture; Programming; Servers; Virtual machine monitors; Cloud Computing; Clustering; MapReduce;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.242
