Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction.
Tu T. DoMai Anh VuHoang Thien LyThu NguyenSteven Alexander HicksMichael A. RieglerPål HalvorsenBinh T. NguyenPublished in: CoRR (2023)
Keyphrases
- missing data imputation
- dimensionality reduction
- principal component analysis
- principal components
- missing values
- low dimensional
- high dimensional data
- dimension reduction
- linear discriminant analysis
- feature extraction
- high dimensionality
- covariance matrix
- generative topographic mapping
- unsupervised learning
- feature space
- singular value decomposition
- face recognition
- high dimensional
- pattern recognition
- euclidean distance
- feature selection
- manifold learning
- website
- data preparation
- image processing