-anonymous microaggregation of multivariate numerical data via principal component analysis.
David Rebollo-MonederoAhmad Mohamad MezherXavier Casanova ColoméJordi FornéMiguel SorianoPublished in: Inf. Sci. (2019)
Keyphrases
- 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