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Data-based analysis of Laplacian Eigenmaps for manifold reduction in supervised Liquid State classifiers.

Paolo ArenaLuca PatanèAngelo Giuseppe Spinosa
Published in: Inf. Sci. (2019)
Keyphrases
  • data analysis
  • data sets
  • training data
  • learning algorithm
  • input data
  • training samples
  • data distribution
  • original data
  • input space
  • feature selection
  • feature space
  • missing data
  • spectral clustering
  • manifold structure