Semi-supervised deep embedded clustering

• Main Authors: REN, Yazhou, HU, Kangrong, DAI, Xinyi, PAN, Lili, HOI, Steven C. H., XU, Zenglin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Semi-supervised learning; Deep embedded clustering; Pairwise constraints; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/4188; https://ink.library.smu.edu.sg/context/sis_research/article/5191/viewcontent/Semi_supervised_deep_embedded_afv.pdf
• Institution: Singapore Management University

Clustering is an important topic in machine learning and data mining. Recently, deep clustering, which learns feature representations for clustering tasks using deep neural networks, has attracted increasing attention for various clustering applications. Deep embedded clustering (DEC) is one of the...