MD-KNN: An Instance-based Approach for Multi-Dimensional Classification

doi:10.1109/ICPR48806.2021.9412974

	MD-KNN: An Instance-based Approach for Multi-Dimensional Classification
	Jia, Bin-Bin1,2,3 ; Zhang, Min-Ling 1,3
	2021
会议名称	25th International Conference on Pattern Recognition (ICPR)
会议录名称	2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)
页码	126-133
会议日期	JAN 10-15, 2021
会议地点	ELECTR NETWORK
出版地	LOS ALAMITOS
出版者	IEEE COMPUTER SOC
摘要	Multi-dimensional classification (MDC) deals with the problem where each instance is associated with multiple class variables, each of which corresponds to a specific class space. One of the mainstream solutions for MDC is to adapt traditional machine learning techniques to deal with MDC data. In this paper, a first attempt towards adapting instance-based techniques for MDC is investigated, and a new approach named MD-KNN is proposed. Specifically, MD-KNN identifies unseen instance's k nearest neighbors and obtains its corresponding kNN counting statistics for each class space, based on which maximum a posteriori (MAP) inference is made for each pair of class spaces. After that, the class label w.r.t. each class space is determined by synergizing predictions from the learned classifiers via consulting empirical kNN accuracy. Comparative studies over ten benchmark data sets clearly validate MD-KNN's effectiveness.
DOI	10.1109/ICPR48806.2021.9412974
收录类别	CPCI-S
语种	英语
WOS研究方向	Computer Science ; Engineering ; Imaging Science & Photographic Technology
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology
WOS记录号	WOS:000678409200018
ISSN	1051-4651
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/150126
专题	电气工程与信息工程学院
通讯作者	Jia, Bin-Bin
作者单位	1.Southeast Univ, Sch Comp Sci & Engn, Nanjing 210096, Peoples R China; 2.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China; 3.Southeast Univ, Minist Educ, Key Lab Comp Network & Informat Integrat, Nanjing, Peoples R China
第一作者单位	电气工程与信息工程学院
通讯作者单位	电气工程与信息工程学院
推荐引用方式 GB/T 7714	Jia, Bin-Bin,Zhang, Min-Ling. MD-KNN: An Instance-based Approach for Multi-Dimensional Classification[C]. LOS ALAMITOS:IEEE COMPUTER SOC,2021:126-133.