Estimating the mixing matrix in Sparse Component Analysis (SCA) based on partial k-dimensional subspace clustering.
Farid Movahedi NainiG. Hosein MohimaniMassoud Babaie-ZadehChristian JuttenPublished in: Neurocomputing (2008)
Keyphrases
- subspace clustering
- mixing matrix
- blind source separation
- high dimensional data
- subspace clusters
- clustering method
- high dimensional
- independent component analysis
- clustering algorithm
- source separation
- independent components
- high dimensionality
- hyperplane
- hyperspectral images
- pattern recognition
- blind separation
- low dimensional
- nearest neighbor
- non stationary
- data sets
- random projections
- data analysis