Multiple Kernel Driven Clustering With Locally Consistent and Selfish Graph in Industrial IoT
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2020.3010357
Abstract: In the cognitive computing of intelligent industrial Internet of Things, clustering is a fundamental machine learning problem to exploit the latent data relationships. To overcome the challenge of kernel choice for nonlinear clustering tasks, multiple… read more here.
Keywords: driven clustering; multiple kernel; kernel driven; locally consistent ... See more keywords
Reducing Uncertainty in Dynamic Stall Measurements Through Data-Driven Clustering of Cycle-To-Cycle Variations
Sign Up to like & getrecommendations! Published in 2020 at "Journal of The American Helicopter Society"
DOI: 10.4050/jahs.66.012003
Abstract: Pitching airfoil measurements are known to exhibit significant scatter near stall angles of attack that can make meaningful correlation with modeling or simulation difficult. Application of data-driven clustering algorithms to dynamic stall experiments, conducted at… read more here.
Keywords: driven clustering; data driven; cycle; dynamic stall ... See more keywords