A High-Order Clustering Algorithm Based on Dropout Deep Learning for Heterogeneous Data in Cyber-Physical-Social Systems
An explosive growth of cyber-physical-social systems has been witnessed owing to the wide use of various mobile devices recently. A large volume of heterogeneous data has been collected from cyber-physical-social systems in the past few years. Each object in the heterogeneous dataset is typically mu...
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8057763/ |