A New Method for Principal Component Analysis of High-Dimensional Data Using Compressive Sensing.
Sebastian KlenkGunther HeidemannPublished in: DMIN (2008)
Keyphrases
- dimension reduction
- high dimensional data
- dimensionality reduction
- compressive sensing
- input data
- preprocessing
- sparse representation
- nearest neighbor
- support vector machine svm
- high dimensionality
- linear discriminant analysis
- clustering method
- low dimensional
- high dimensional
- data mining
- knn
- image data
- training set
- lower dimensional
- feature space
- high dimensional spaces
- high dimensional datasets