Derivative Interpolating Subspace Frameworks for Nonlinear Eigenvalue Problems.

Rifqi Aziz Emre Mengi Matthias Voigt

Published in: CoRR (2020)

Keyphrases

eigenvalue problems
kernel based nonlinear
dimensionality reduction
kernel pca
high dimensional data
feature space
low dimensional
subspace clustering
linear subspace
high dimensional
input data
machine learning
feature selection
decision trees