Library for t-SNE Dimensionality Reduction and Embedding.
Pavlin G. PolicarMartin StrazarBlaz ZupanPublished in: J. Stat. Softw. (2024)
Keyphrases
- dimensionality reduction
- nonlinear dimensionality reduction
- graph embedding
- structure preserving
- embedding space
- locality preserving projections
- low dimensional
- multidimensional scaling
- neighborhood preserving
- high dimensional data
- manifold learning
- principal component analysis
- dimensionality reduction methods
- high dimensional
- laplacian eigenmaps
- low dimensional spaces
- data representation
- feature extraction
- subspace learning
- input space
- random projections
- data points
- linear discriminant analysis
- principal components
- latent space
- locally linear embedding
- pattern recognition
- feature space
- euclidean distance
- singular value decomposition
- dimension reduction
- high dimensionality
- discriminant analysis
- vector space
- lower dimensional
- linear dimensionality reduction
- pattern recognition and machine learning
- feature selection
- semi supervised dimensionality reduction
- watermarking technique
- kernel learning