Spatial segmentation and feature selection for desi imaging mass spectrometry data with spatially-aware sparse clustering.
Kyle D. BemisLivia EberlinChristina FerreiraR. CooksOlga VitekPublished in: BMC Bioinform. (2012)
Keyphrases
- mass spectrometry data
- feature selection
- spatially aware
- clustering algorithm
- high dimensionality
- image segmentation
- cancer classification
- unsupervised learning
- image processing
- k means
- mass spectrometry
- high throughput
- high dimensional
- pattern classification
- dimensionality reduction
- text classification
- clustering method
- cluster analysis
- spatial information
- computer vision
- self organizing maps
- high dimensional data
- text categorization
- high resolution
- image representation
- data acquisition
- multi view
- support vector machine
- data points
- classification accuracy
- gene expression profiles
- feature space
- feature extraction
- image sequences