Approximating Sparse PCA from Incomplete Data.
Abhisek KunduPetros DrineasMalik Magdon-IsmailPublished in: NIPS (2015)
Keyphrases
- incomplete data
- sparse pca
- learning bayesian networks
- bayesian networks
- missing data
- feature selection
- missing values
- principal component analysis
- em algorithm
- anomaly detection
- semidefinite programming
- input data
- incomplete data sets
- linear programming
- matrix factorization
- data analysis
- principle component analysis
- pattern recognition
- learning algorithm
- missing attribute values