Quantifying the Conceptual Error in Dimensionality Reduction.
Tom HanikaJohannes HirthPublished in: ICCS (2021)
Keyphrases
- dimensionality reduction
- principal component analysis
- high dimensionality
- data representation
- high dimensional data
- feature space
- pattern recognition and machine learning
- error bounds
- low dimensional
- pattern recognition
- error rate
- structure preserving
- principal components
- dimensionality reduction methods
- random projections
- high dimensional
- data sets
- graph embedding
- nonlinear dimensionality reduction
- lower dimensional
- input space
- feature selection
- least squares
- error analysis
- generalization error
- neural network
- data mining
- euclidean distance