An intelligent clustering algorithm for high-dimensional multiview data in big data applications
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.12.093
Abstract: Abstract There are many high-dimensional multiview data in various big data applications. It is very difficult to deal with those high-dimensional multiview data for the classic clustering algorithms, which consider all features of data with… read more here.
Keywords: multiview data; dimensional multiview; high dimensional; data applications ... See more keywords
Abnormal Condition Monitoring Based on Multiview Data Collaborative Feature Regression
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DOI: 10.1109/tim.2023.3277987
Abstract: A complex industrial process is dynamic and unpredictable, and it is impractical to prevent all abnormal conditions. In practice, the occurrence, development, and elimination of abnormal conditions take different states in different views. Traditional single-view-based… read more here.
Keywords: multiview data; feature regression; multiview; abnormal conditions ... See more keywords
Kernelized Multiview Subspace Analysis By Self-Weighted Learning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2020.3032023
Abstract: With the popularity of multimedia technology, information is always represented from multiple views. Even though multiview data can reflect the same sample from different perspectives, multiple views are consistent to some extent because they are… read more here.
Keywords: multiview; multiview data; subspace analysis; kernelized multiview ... See more keywords