Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 9
2656-2658,2673

Label-correlation based multi-label classification algorithm with label-specific features

Mu Jiapeng
Cai Jian
Yu Mengchi
Xu Jian
School of Computer Science & Engineering, Nanjing University of Science & Technology, Nanjing 210094, China
DOI: 10.19734/j.issn.1001-3695.2019.04.0118

Abstract

In multi-label learning, each instance can belong to multiple category labels simultaneously. Each label may have a feature that reflects the specific characteristics of the label, which could label-specific feature, and there propose multi-label learning algorithm with label-specific features named LIFT. Aiming at the problem that LIFT algorithm ignored the relevance among labels, this paper proposed a label-correlation based multi-label classification algorithm with label-specific features named CLLIFT. The CLLIFT algorithm used label-distance to measure the correlation between labels and introduced the label correlation by appending related labels to the label-specific features space. The experimental results on four multi-label datasets show that the proposed algorithm has an average increase of 21.1% over multiple multi-label metrics indicators compared with the LIFT algorithm.

Foundation Support

国家自然科学基金资助项目(61872186,61802205,91846104)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.04.0118
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 9
Section: Algorithm Research & Explore
Pages: 2656-2658,2673
Serial Number: 1001-3695(2020)09-018-2656-03

Publish History

[2020-09-05] Printed Article

Cite This Article

牟甲鹏, 蔡剑, 余孟池, 等. 基于标签相关性的类属属性多标签分类算法 [J]. 计算机应用研究, 2020, 37 (9): 2656-2658,2673. (Mu Jiapeng, Cai Jian, Yu Mengchi, et al. Label-correlation based multi-label classification algorithm with label-specific features [J]. Application Research of Computers, 2020, 37 (9): 2656-2658,2673. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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