Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA.
Benyamin GhojoghAli GhodsiFakhri KarrayMark CrowleyPublished in: CoRR (2022)
Keyphrases
- factor analysis
- locally linear embedding
- principal component analysis
- independent component analysis
- dimensionality reduction
- discriminant analysis
- principal components analysis
- low dimensional
- manifold learning
- dimensionality reduction methods
- high dimensional
- component analysis
- high dimensional data
- cluster analysis
- linear discriminant analysis
- dimension reduction
- matrix factorization
- face recognition
- subspace learning
- principal components
- statistical tests
- feature extraction
- locality preserving projections
- probabilistic model
- covariance matrix
- dimensional data
- pattern recognition
- sparse representation
- generative model
- data representation
- preprocessing step
- data points
- computer vision