Short Review of Dimensionality Reduction Methods Based on Stochastic Neighbour Embedding.
Diego Hernán Peluffo-OrdóñezJohn Aldo LeeMichel VerleysenPublished in: WSOM (2014)
Keyphrases
- dimensionality reduction methods
- nonlinear dimensionality reduction
- dimensionality reduction
- discriminant analysis
- laplacian eigenmaps
- data sets
- principal component analysis
- preprocessing step
- knn
- manifold learning
- principal components analysis
- distance measure
- random projections
- discriminant projection
- low dimensional
- high dimensional data
- linear discriminant analysis
- face recognition
- unsupervised learning
- information retrieval systems
- image processing