Outsourced K-means Clustering for High-Dimensional Data Analysis based on Homomorphic Encryption.
Ray-I ChangYen-Ting ChangChia-Hui WangPublished in: J. Inf. Sci. Eng. (2023)
Keyphrases
- high dimensional data analysis
- homomorphic encryption
- dimension reduction
- privacy preserving
- preprocessing step
- data sharing
- encrypted data
- high dimensional
- third party
- multimodal data
- face recognition
- dimensionality reduction methods
- variable selection
- high dimensional data
- encryption scheme
- cluster analysis
- k means
- public key
- dimensionality reduction
- sensitive data
- supervised dimensionality reduction
- service providers
- read write
- feature extraction
- sql queries
- discriminant analysis
- feature selection
- clustering algorithm
- preprocessing
- data privacy
- linear discriminant analysis
- low dimensional
- data access
- data integration
- high dimensionality
- data sets
- information sharing
- encryption algorithm
- data analysis
- data storage
- random projections
- sensitive information
- principal component analysis
- linear transformation
- data sources
- databases