Joint Deep Multi-View Learning for Image Clustering

IEEE Transactions on Knowledge and Data Engineering(2021)

引用 83|浏览374
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摘要
In this paper, a novel Deep Multi-view Joint Clustering (DMJC) framework is proposed, where multiple deep embedded features, multi-view fusion mechanism, and clustering assignments can be learned simultaneously. Through the joint learning strategy, the clustering-friendly multi-view features and useful multi-view complementary inform...
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关键词
Clustering methods,Feature extraction,Electronic mail,Correlation,Learning systems,Clustering algorithms,Machine learning
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