Weighted subspace fitting using subspace perturbation expansions.
Richard J. VaccaroPublished in: ICASSP (1998)
Keyphrases
- low dimensional
- linear subspace
- clustering high dimensional data
- high dimensional data
- subspace learning
- subspace clustering
- feature space
- subspace methods
- kernel based nonlinear
- real time
- low rank representation
- linear projection
- lower dimensional
- input data
- dimensionality reduction
- principal component analysis
- information systems
- weighted sum
- eigendecomposition
- data sets