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Application of kernel principal component analysis for optical vector atomic magnetometry.

James A. McKelvyIrina NovikovaEugeniy E. MikhailovMario A. MaldonadoIsaac FanYang LiYing-Ju WangJohn KitchingAndrey Matsko
Published in: Mach. Learn. Sci. Technol. (2023)
Keyphrases
  • kernel principal component analysis
  • feature vectors
  • learning algorithm
  • feature extraction
  • preprocessing
  • feature space
  • discriminant analysis
  • principal components
  • kernel pca