Endmember Extraction From Highly Mixed Data Using Minimum Volume Constrained Nonnegative Matrix Factorization.
Lidan MiaoHairong QiPublished in: IEEE Trans. Geosci. Remote. Sens. (2007)
Keyphrases
- nonnegative matrix factorization
- mixed data
- minimum volume
- matrix factorization
- negative matrix factorization
- data representation
- data compression
- novelty detection
- knn
- data sets
- similarity function
- least squares
- spectral clustering
- clustering algorithm
- principal component analysis
- original data
- document clustering
- information extraction
- objective function
- sparse representation
- nearest neighbor
- support vector
- image processing
- learning algorithm
- neural network