Interpretation of Structural Preservation in Low-Dimensional Embeddings.
Aindrila GhoshMona NashaatJames MillerShaikh QuaderPublished in: IEEE Trans. Knowl. Data Eng. (2022)
Keyphrases
- low dimensional
- high dimensional
- manifold learning
- dimensionality reduction
- high dimensional data
- principal component analysis
- structural information
- data points
- dimension reduction
- euclidean space
- vector space
- high dimensional spaces
- nonlinear dimensionality reduction
- linear subspace
- image interpretation
- input space
- multidimensional scaling
- data sets
- low dimensional spaces
- lower dimensional
- feature space
- semantic interpretation
- image sequences
- graph embedding
- high level
- subspace learning
- latent space