Noise-free principal component analysis: An efficient dimension reduction technique for high dimensional molecular data.
Mansoor RezghiAskar ObulkasimPublished in: Expert Syst. Appl. (2014)
Keyphrases
- dimension reduction
- high dimensional
- principal component analysis
- high dimensional data
- low dimensional
- noisy data
- data points
- noise free
- data analysis
- dimensionality reduction
- feature extraction
- image data
- singular value decomposition
- linear discriminant analysis
- data sets
- feature space
- sparse representation
- high dimensionality
- machine learning
- training data
- missing data
- background knowledge
- noisy images