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Clustering Algorithms Used in Data Mining |
Jiang Yuan①②; Zhang Zhao-yang①; Qiu Pei-liang①; Zhou Dong-fang② |
①Institute of Information & Communication Engineering Zhejiang University Hangzhou 310027 China;②PLA Information Engineering University Zhengzhou 450002 China |
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Abstract Data mining is used to draw interesting information from Very Large DataBases (VLDB). Clustering plays an outstanding role in data mining applications. Clustering is a division of databases into groups of similar objects based on the similarity. From a machine learning perspective clusters correspond to hidden patterns, the search for clusters is unsupervised learning. There are tens of clustering algorithms used in various fields such as statistics, pattern recognition and machine learning now. This paper concludes the clustering algorithms used in data mining and assorts them into 7 classes. Seven types of algorithms are summarized and their performances are analyzed here.
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Received: 22 December 2003
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