Subspace invariance: the RO-FST and TQR-SVD adaptive subspace tracking algorithms.
Daniel J. RabideauPublished in: IEEE Trans. Signal Process. (1995)
Keyphrases
- low dimensional
- principal component analysis
- dimensionality reduction
- subspace clustering
- high dimensional data
- singular value decomposition
- clustering high dimensional data
- feature extraction
- feature space
- subspace learning
- high dimensional
- lower dimensional
- kernel based nonlinear
- real time
- principal components analysis
- principal components
- dimension reduction
- pattern recognition
- data sets