OverDBC: A new density-based clustering method with the ability of detecting overlapped clusters from gene expression data.
Mansooreh MirzaieAhmad BaraniNaser NematbakkhshMajid BeigiPublished in: Intell. Data Anal. (2015)
Keyphrases
- clustering method
- gene expression data
- clustering algorithm
- hierarchical clustering
- subspace clustering
- cluster analysis
- spatial clustering
- clustering framework
- analysis of gene expression data
- unsupervised clustering
- microarray
- gene expression
- fuzzy c means
- microarray data
- clustering result
- hierarchical clustering algorithm
- clustering approaches
- affinity propagation
- document clustering
- hierarchical agglomerative clustering
- graph clustering
- classical clustering algorithms
- constrained clustering
- cluster structure
- gene regulatory networks
- high dimensional data
- k means
- clustering analysis
- gene expression profiles
- gene expression analysis
- gene expression data analysis
- feature selection
- gene selection
- data sets
- proximity matrix
- similarity measure
- high dimensionality
- dna microarray
- high dimensional
- fuzzy clustering
- microarray datasets
- data clustering
- high throughput
- data matrix
- spectral clustering
- data mining
- nearest neighbor
- gene expression patterns
- anomaly detection
- biological data
- clustering quality
- text clustering