Impact of fuzzy normalization on clustering microarray temporal datasets using cuckoo search.
P. SwathypriyadharsiniKandhasamy PremalathaPublished in: Comput. Syst. Sci. Eng. (2020)
Keyphrases
- microarray
- gene expression profiles
- clustering analysis
- experimental conditions
- microarray data analysis
- gene expression
- high throughput
- gene expression analysis
- gene expression data
- gene expression datasets
- microarray datasets
- high dimensionality
- microarray data
- yeast cell cycle
- gene expression profiling
- gene expression data analysis
- gene expression microarray data
- gene ontology
- gene expression levels
- molecular biology
- membership functions
- clustering method
- fuzzy clustering
- gene selection
- cancer classification
- data mining tasks
- clustering algorithm
- synthetic datasets
- dna microarray
- gene networks
- data sets
- cancer datasets
- biclustering algorithms
- cluster ensemble
- self organizing maps
- hierarchical clustering
- regulatory networks
- cluster analysis
- gene expression data sets
- genome wide
- k means
- microarray images
- image processing
- text clustering
- cancer diagnosis
- data clustering
- differentially expressed genes
- feature selection
- microarray expression data
- data points
- biological data
- tissue samples
- microarray analysis
- data mining
- high dimensional data