A semi-supervised approach to projected clustering with applications to microarray data.
Kevin Y. YipLin CheungDavid W. CheungLiping JingMichael K. NgPublished in: Int. J. Data Min. Bioinform. (2009)
Keyphrases
- microarray data
- microarray data analysis
- semi supervised
- cluster analysis
- microarray
- gene expression profiles
- unsupervised learning
- gene expression
- gene selection
- data sets
- semi supervised clustering
- gene expression analysis
- clustering method
- clustering algorithm
- meta analysis
- feature selection
- gene expression data
- differentially expressed genes
- high dimensional
- k means
- biological data
- gene clusters
- gene networks
- semi supervised learning
- cancer classification
- labeled data
- microarray classification
- data mining
- dna microarray data
- microarray datasets
- gene sets
- high dimensionality
- supervised learning
- biologically relevant
- clustering analysis
- self organizing maps
- high dimensional data
- data mining techniques
- gene expression patterns
- knowledge discovery
- similarity measure
- unlabeled data
- small number of samples
- training data