Dimensionality reduction with isomap algorithm for EEG covariance matrices.

Egor Krivov Mikhail Belyaev

Published in: BCI (2016)

Keyphrases

dimensionality reduction
learning algorithm
np hard
covariance matrices
objective function
expectation maximization
similarity measure
k means
worst case
convex hull
training data
principal component analysis
low dimensional
sparse representation
linear dimensionality reduction