INFOTEC-LaBD at PoliticES-IberLEF2023: Explainable Non-Linear Low-Dimensional Projections.
Hiram Cabrera-PinedaEric Sadit TellezSabino MirandaPublished in: IberLEF@SEPLN (2023)
Keyphrases
- low dimensional
- high dimensional
- dimensionality reduction
- manifold learning
- high dimensional data
- principal component analysis
- data points
- three dimensional
- input space
- radon transform
- multidimensional scaling
- euclidean space
- vector space
- dimension reduction
- image reconstruction from projections
- gaussian process latent variable models
- discrete tomography
- feature space
- random projections
- subspace learning
- linear dimensionality reduction
- coordinate ascent
- high dimensional data space
- linear subspace
- high dimension
- nonlinear dimensionality reduction
- graph embedding
- tomographic reconstruction
- polyhedral objects
- data sets
- intrinsic dimension
- feature vectors
- pattern classification