Energy description of data object and clustering

Authors:
Daniel Hsu;Shardrom Johnson;Ben Yang
Affiliations:
School of Computer Engineering and Science, Shanghai University, Shanghai, P. R. China;Information Centre, Shanghai Municipal Education Commission, Shanghai, P. R. China;School of Computer Engineering and Science, Shanghai University, Shanghai, P. R. China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Year:
2009

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Abstract

Clustering is the hot spot in the study of Data Mining. In this paper, refer to the distillation of "energy", data object and clustering can be described by energy. With the function of clustering optimized by energy, energy driven about the user's demands will be brought into effect in all data-space, and all data object, including the outlier, is planed as a whole at the unified cognition platform. Through the experiment, a strategy of clustering optimized by energy is better than those which are just clustered based on density by using the CRCMD algorithm.