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Less is More - Dimensionality Reduction from a Theoretical Perspective.
Nicolas Bruneau
Sylvain Guilley
Annelie Heuser
Damien Marion
Olivier Rioul
Published in:
IACR Cryptol. ePrint Arch. (2016)
Keyphrases
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dimensionality reduction
principal component analysis
high dimensional data
theoretical analysis
low dimensional
feature extraction
manifold learning
high dimensionality
cognitive scientists
random projections
theoretical basis
data representation
neural network
feature space
principal components
database
lower dimensional
databases
linear discriminant analysis
singular value decomposition
pattern recognition
euclidean distance
feature selection
genetic algorithm
image processing
real world
website
preprocessing step
case study
data sets
principal components analysis
locally linear embedding
structure preserving
data points