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Entropy Based Clustering of Data Streams with Mixed Numeric and Categorical Values

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6 Author(s)
Shuyun Wang ; Dept. of Computingand Inf. Technol., Fudan Univ., Shanghai ; Yingjie Fan ; Chenghong Zhang ; Hexiang Xu
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In is paper, a novel algorithm for clustering data streams with mixed numeric and categorical attributes (CNC-Stream)is proposed. A new similarity measure based on entropy determining the similarity between the objects(data points in the stream or the micro- clusters in memory) is also presented here, which makes CNC-Stream work, the experiments conducted on the real data sets and synthetic data sets show that the proposed method is of high quality.

Published in:

Computer and Information Science, 2008. ICIS 08. Seventh IEEE/ACIS International Conference on

Date of Conference:

14-16 May 2008