Embedding Functional Data: Multidimensional Scaling and Manifold Learning.
Ery Arias-CastroWanli QiaoPublished in: CoRR (2022)
Keyphrases
- multidimensional scaling
- manifold learning
- low dimensional
- data sets
- dimensionality reduction
- geodesic distance
- data analysis
- manifold embedding
- manifold structure
- high dimensional data
- embedding space
- data points
- dimension reduction
- nonlinear dimensionality reduction
- input data
- knowledge discovery
- euclidean distance
- cluster analysis
- high dimensional
- feature space
- training data
- laplacian eigenmaps
- labeled data
- kernel pca
- data mining techniques
- least squares
- semi supervised
- neural network