Designing a Novel Approach Using a Greedy and Information-Theoretic Clustering-Based Algorithm for Anonymizing Microdata Sets.
Reza Ahmadi KhatirHabib IzadkhahJafar RazmaraPublished in: Entropy (2023)
Keyphrases
- information theoretic
- learning algorithm
- log likelihood
- information theory
- relative entropy
- mutual information
- information loss
- k means
- probabilistic model
- worst case
- closed form
- information theoretic measures
- minimum description length
- objective function
- bayesian framework
- bayesian networks
- similarity measure
- image processing
- entropy measure
- information bottleneck
- computer vision