Dominant-Subspace Invariants.
D. Gregory ArnoldKirk SturtzVincent J. VeltenNagaraj NandhakumarPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2000)
Keyphrases
- principal component analysis
- feature space
- subspace clustering
- high dimensional data
- subspace learning
- feature extraction
- lower dimensional
- high dimensional
- linear subspace
- moment invariants
- kernel based nonlinear
- dimensionality reduction
- low dimensional
- invariant features
- feature selection
- clustering high dimensional data
- feature vectors
- affine invariant
- pattern recognition
- affine moment invariants
- quasi invariant
- imperative programs
- data sets