Principal component analysis for data containing outliers and missing elements.
Sven SerneelsTim VerdonckPublished in: Comput. Stat. Data Anal. (2008)
Keyphrases
- missing data
- data points
- data processing
- data sets
- noisy data
- missing values
- high quality
- raw data
- original data
- synthetic data
- statistical methods
- principal component analysis
- image data
- input data
- prior knowledge
- data analysis
- data quality
- databases
- incomplete data
- spectral clustering
- discriminant analysis
- complex data
- network structure
- experimental data
- sensor data
- statistical analysis
- computer systems
- small number
- knowledge discovery
- probability distribution
- data sources
- data structure
- bayesian networks
- computer vision