Relevant Gene Selection Using Normalized Cut Clustering with Maximal Compression Similarity Measure.
Rajni BalaR. K. AgrawalManju SardanaPublished in: PAKDD (2) (2010)
Keyphrases
- normalized cut
- gene selection
- spectral clustering
- similarity measure
- graph partitioning
- clustering method
- similarity matrix
- clustering algorithm
- microarray data
- k means
- image segmentation
- microarray data analysis
- gene expression profiles
- microarray
- similarity graph
- cancer classification
- gene expression data
- pairwise
- data clustering
- gene expression
- graph model
- highly correlated
- mean shift
- cluster analysis
- graph cuts
- support vector machine svm
- graph structure
- weighted graph
- unsupervised learning
- association rules
- learning algorithm
- similarity search
- data sets
- high dimensionality
- feature vectors
- high dimensional
- object recognition
- multiscale
- decision trees
- data mining