A kernel Principal Component Analysis (kPCA) digest with a new backward mapping (pre-image reconstruction) strategy

7 Jan 2020Alberto García-GonzálezAntonio HuertaSergio ZlotnikPedro Díez

Methodologies for multidimensionality reduction aim at discovering low-dimensional manifolds where data ranges. Principal Component Analysis (PCA) is very effective if data have linear structure... (read more)

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