Dimension Reduction of Two-Dimensional Persistence via Distance Deformations.
Maximilian NeumannPublished in: CoRR (2022)
Keyphrases
- dimension reduction
- three dimensional
- principal component analysis
- feature extraction
- intrinsic dimension
- high dimensional problems
- partial least squares
- singular value decomposition
- preprocessing
- dimensionality reduction
- discriminative information
- random projections
- high dimensional
- low dimensional
- variable selection
- feature space
- feature selection
- linear discriminant analysis
- manifold learning
- data mining and machine learning
- high dimensional data
- cluster analysis
- high dimensionality
- dimension reduction methods
- high dimensional data analysis
- sparse metric learning
- euclidean distance
- unsupervised learning
- distance measure
- distance transform
- distance metric
- text classification
- data analysis
- object recognition
- neural network