CLIFF: clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts.
Eric P. XingRichard M. KarpPublished in: ISMB (Supplement of Bioinformatics) (2001)
Keyphrases
- microarray data
- normalized cut
- high dimensional
- cluster analysis
- microarray data analysis
- spectral clustering
- similarity graph
- k means
- microarray
- clustering algorithm
- gene expression data
- graph partitioning
- gene selection
- gene expression profiles
- gene expression
- data points
- image segmentation
- high dimensionality
- high dimensional data
- small sample size
- clustering method
- gene expression analysis
- low dimensional
- data sets
- small number of samples
- data clustering
- mean shift
- feature selection
- similarity search
- feature vectors
- feature space
- gene sets
- unsupervised learning
- graph cuts
- high throughput
- highly correlated
- data analysis
- input data
- variable selection
- feature set
- dimensionality reduction
- microarray datasets
- pairwise
- random walk
- object recognition
- computer vision
- machine learning