PSO-based K-Means clustering with enhanced cluster matching for gene expression data.
Yau-King LamPeter Wai-Ming TsangChi-Sing LeungPublished in: Neural Comput. Appl. (2013)
Keyphrases
- gene expression data
- analysis of gene expression data
- gene expression
- microarray
- clustering algorithm
- microarray data
- gene expression analysis
- data clustering
- gene regulatory networks
- gene expression data analysis
- cluster analysis
- data sets
- gene clusters
- gene expression profiling
- feature selection
- high dimensional data
- yeast cell cycle
- high dimensionality
- gene selection
- gene expression data sets
- gene expression profiles
- regulatory networks
- clustering gene expression data
- dna microarray data
- cancer classification
- k means
- biological information
- image processing
- simultaneous clustering
- gene networks
- cancer diagnosis
- dna microarray
- experimental conditions
- database
- microarray gene expression data
- gene expression patterns
- gene expression datasets
- high throughput
- hierarchical clustering
- microarray datasets
- text mining
- data points
- spectral clustering
- tumor classification
- pattern recognition
- face recognition
- cluster centers