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In this paper, a method is proposed for multi-label learning by modeling local label correlations and local feature correlations. Specifically, the data set is first divided into several subsets by a clustering method. Then, the local label and feature correlations, and the multi-label classifiers are modeled based on each data subset respectively. In addition, a novel regularization is proposed to model the consistency between classifiers corresponding to different data subsets. Experimental results on twelve real-word multi-label data sets demonstrate the effectiveness of the proposed method.<\/jats:p>","DOI":"10.3233\/ida-216404","type":"journal-article","created":{"date-parts":[[2023,4,7]],"date-time":"2023-04-07T11:36:21Z","timestamp":1680867381000},"page":"379-398","source":"Crossref","is-referenced-by-count":1,"title":["Improving multi-label learning by modeling Local label and feature correlations"],"prefix":"10.1177","volume":"27","author":[{"given":"Qianqian","family":"Cheng","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Anhui University of Technology, Maanshan, Anhui, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Anhui University of Technology, Maanshan, Anhui, China"},{"name":"Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, Anhui, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huiyi","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Anhui University of Technology, Maanshan, Anhui, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sibao","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Anhui University, Hefei, Anhui, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Anhui University of Technology, Maanshan, Anhui, China"},{"name":"Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, Anhui, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"issue":"8","key":"10.3233\/IDA-216404_ref1","doi-asserted-by":"crossref","first-page":"1819","DOI":"10.1109\/TKDE.2013.39","article-title":"A Review On Multi-Label Learning Algorithms","volume":"26","author":"Zhang","year":"2014","journal-title":"IEEE Trans. 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