Mixtures of common factor analyzers for high-dimensional data with missing information.
Wan-Lun WangPublished in: J. Multivar. Anal. (2013)
Keyphrases
- factor analyzers
- missing information
- high dimensional data
- low dimensional
- missing values
- high dimensional
- incomplete information
- dimensionality reduction
- high dimensionality
- high dimensions
- manifold learning
- similarity search
- dimension reduction
- input space
- subspace clustering
- missing data
- data points
- feature space
- nearest neighbor
- nonlinear dimensionality reduction
- principal component analysis
- positive and negative
- linear discriminant analysis
- lower dimensional
- data sets
- high dimensional datasets
- high dimensional spaces
- dimensional data
- depth information
- sparse representation
- high dimensional data sets
- text data
- machine learning
- database
- clustering high dimensional data
- dynamic programming
- image sequences
- feature selection
- feature extraction
- multi agent
- data analysis
- data mining
- neural network