Hyperspectral Tissue Image Segmentation Using Semi-Supervised NMF and Hierarchical Clustering.
Neeraj KumarPhani Krishna UppalaKarthik DudduHari SreedharVishal K. VarmaGrace GuzmanMichael J. WalshAmit SethiPublished in: IEEE Trans. Medical Imaging (2019)
Keyphrases
- hierarchical clustering
- hyperspectral
- semi supervised
- image segmentation
- constrained clustering
- remote sensing
- negative matrix factorization
- image analysis
- spectral clustering
- nonnegative matrix factorization
- clustering method
- multispectral
- hyperspectral images
- infrared
- normalized cut
- hyperspectral imagery
- hyperspectral data
- hyperspectral remote sensing
- pixel classification
- clustering algorithm
- image data
- target detection
- spectral bands
- pairwise constraints
- information content
- pairwise
- image processing
- graph cuts
- document clustering
- partitional clustering
- active learning
- region growing
- satellite images
- k means
- single linkage
- change detection
- unsupervised learning
- computer vision
- matrix factorization
- supervised learning
- graph partitioning
- hierarchical clustering algorithm
- data clustering
- cluster analysis
- sparse representation
- similarity measure
- machine learning