Visualizing the quality of dimensionality reduction.
Bassam MokbelWouter LueksAndrej GisbrechtBarbara HammerPublished in: Neurocomputing (2013)
Keyphrases
- dimensionality reduction
- low quality
- high quality
- data representation
- low dimensional
- random projections
- manifold learning
- high dimensionality
- high dimensional data
- dimensionality reduction methods
- nonlinear dimensionality reduction
- high dimensional
- feature extraction
- sparse representation
- kernel pca
- lower dimensional
- linear dimensionality reduction
- pattern recognition and machine learning
- higher quality
- data sets
- text categorization
- principal component analysis
- knn
- pattern recognition
- neural network