Multiple Kernel-Based Discriminant Analysis via Support Vectors for Dimension Reduction
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DOI: 10.1109/access.2019.2904037
Abstract: Kernel-based discriminant analysis is an effective nonlinear mechanism for pattern analysis. Conventional kernel-based discriminant analysis mainly based on a single kernel function may be insufficient when dealing with datasets with complicated geometric structures. A combination… read more here.
Keywords: kernel based; discriminant analysis; support vectors; based discriminant ... See more keywords