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| New Fuzzy-Clustering Algorithm for Data Stream |
| Sun Li-juan①② Chen Xiao-dong① Han Chong① Guo Jian①② |
①(College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China)
②(Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing 210003, China) |
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Abstract There is a great challenge in the data stream clustering due to a limitation of time and space. In order to solve this problem, a new fuzzy-clustering algorithm, called Weight Decay Streaming Micro Clustering (WDSMC), is presented in this paper. The algorithm uses a reformed weighted Fuzzy C-Means (FCM) algorithm, and improves the quality of clustering by the structures of micro-clusters and weight-decay. Experimental results show that this algorithm has better accuracy than Stream Weight Fuzzy C-Means (SWFCM) and StreamKM++ algorithm.
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Received: 05 November 2014
Published: 02 June 2015
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Corresponding Authors:
Sun Li-juan
E-mail: sunlj@njupt.edu.cn
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