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《Journal of Anqing Normal University(Natural Science Edition)》 2018-02
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Multi-label Learning Method Based on DEC Algorithm

WANG Yibin;LI Shanshan;PEI Gensheng;School of Computer and Information, Anqing Normal University;University Key Laboratory of Intelligent Perception and Computing of Anhui Province;  
Due to the curse of dimensionality problem in multi-lable learning, and in view of the feature of reduction of discriminative embedded clustering(DEC) algorithm, this paper proposes a multi-label learning method based on DEC algorithm. It is to use the DEC algorithm to reduce the dimensionality of the multi-label data sets, thus reducing the complexity of the algorithm and improving the classification performance. Experimental results show that the multi-label learning method based on DEC algorithm is effective.
【Fund】: 安徽省高校自然科学研究重点项目(KJ2013A177);; 安徽省质量工程项目(2014SXZX011 2015GXK043 2016ZY080)
【CateGory Index】: TP181
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