Building a discriminatively ordered subspace on the generating matrix to classify high-dimensional spectral data.
Rui ZhuKazuhiro FukuiJing-Hao XuePublished in: Inf. Sci. (2017)
Keyphrases
- high dimensional
- spectral data
- low dimensional
- principal components
- dimensionality reduction
- high dimensional data
- feature space
- partial least squares
- lower dimensional
- dimension reduction
- similarity search
- singular value decomposition
- high dimensionality
- nearest neighbor
- principal component analysis
- remote sensing
- proteomic data
- variable selection
- kernel function
- hyperspectral
- covariance matrix
- data points
- image segmentation
- original data
- gene expression data
- unsupervised learning