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-anonymous microaggregation of multivariate numerical data via principal component analysis.
David Rebollo-Monedero
Ahmad Mohamad Mezher
Xavier Casanova Colomé
Jordi Forné
Miguel Soriano
Published in:
Inf. Sci. (2019)
Keyphrases
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numerical data
principal component analysis
categorical data
multivariate data
disclosure risk
symbolic data
principal components
dimensionality reduction
cluster analysis
independent component analysis
data sets
numerical values
covariance matrix
face recognition
feature space
dimension reduction
information loss
linear discriminant analysis
original data
low dimensional
numerical attributes
breast tumors
attribute values
face images
feature extraction
equivalence relation
maximum likelihood
computer vision