Quantifying the Conceptual Error in Dimensionality Reduction.
Tom HanikaJohannes HirthPublished in: CoRR (2021)
Keyphrases
- dimensionality reduction
- principal component analysis
- high dimensional data
- error rate
- low dimensional
- high dimensional
- structure preserving
- data representation
- manifold learning
- linear discriminant analysis
- pattern recognition and machine learning
- high dimensionality
- principal components
- neural network
- feature space
- pattern recognition
- euclidean distance
- data points
- real time
- error bounds
- feature selection
- intrinsic dimensionality
- linear complexity
- estimation error
- linear dimensionality reduction
- error free
- multidimensional scaling
- dimensionality reduction methods
- lower dimensional
- metric learning
- prediction error
- feature extraction
- conceptual model