硕士生导师
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学历：博士研究生毕业
学位：工学博士学位
办公地点：犀浦3号教学楼31529
毕业院校：四川大学
学科：电子信息. 软件工程. 计算机应用技术
所在单位：计算机与人工智能学院
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Unsupervised Ensemble Learning Improves Discriminability of Stochastic Neighbor Embedding
DOI码：10.1007/s44196-023-00203-y
所属单位：西南交通大学
发表刊物：International Journal of Computational Intelligence Systems
刊物所在地：FRANCE
关键字：Stochastic neighbor embedding; Feature learning; Discriminant learning; Clustering ensemble; Pairwise constraints
摘要：The purpose of feature learning is to obtain effective representation of the raw data and then improve the performance of machine learning algorithms such as clustering or classification. Some of the existing feature learning algorithms use discriminant information in the data to improve the representation of data features, but the discrimination of the data feature representation is not enough. In order to further enhance the discrimination, discriminant feature learning based on t-distribution stochastic neighbor embedding guided by pairwise constraints (pcDTSNE) is proposed in this paper. pcDTSNE introduces pairwise constraints by clustering ensemble and uses these pairwise constraints to impose penalties on the objective function, which makes sample points in the mapping space present stronger discrimination. In order to verify the feature learning performance of pcDTSNE, extensive experiments are carried out on several public data sets. The experimental results show that the expression ability of data representation generated by pcDTSNE is further improved.
合写作者：Hui Zhao,Yinghui Zhang,Jin Guo
第一作者：Jian Wang
论文类型：SCI
通讯作者：Hongjun Wang
学科门类：工学
文献类型：J
卷号：16
期号：1
页面范围：29
ISSN号：1875-6883
是否译文：否
发表时间：2023-03-10
收录刊物：SCI