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Nonlinear Dimensionality Reduction Techniques: A Data Structure Preservation Approach
Hardcover
Technology & EngineeringGeneral ComputersProbability & Statistics
ISBN13: 9783030810252
Publisher: Springer
Published: Dec 3 2021
Pages: 247
Weight: 1.29
Height: 0.69 Width: 6.14 Depth: 9.21
Language: English
In particular, it presents the new unsupervised technique ASKI and the supervised methods ClassNeRV and ClassJSE. Moreover, MING, a new approach for local map quality evaluation is also introduced. These methods are then applied to the representation of expert-designed fault indicators for smart-buildings, I-V curves for photovoltaic systems and acoustic signals for Li-ion batteries.
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