An information theoretic divergence for microarray data clustering.
Xuan Vinh NguyenNguyen Minh PhuongPublished in: BIBE (2008)
Keyphrases
- data clustering
- microarray
- information theoretic
- jensen shannon divergence
- relative entropy
- kl divergence
- jensen shannon
- information theory
- gene expression
- high throughput
- mutual information
- microarray data
- gene expression data
- gene ontology
- kullback leibler
- cluster analysis
- clustering algorithm
- unsupervised learning
- gene selection
- k means
- clustering analysis
- spectral clustering
- kullback leibler divergence
- high dimensionality
- gene expression analysis
- microarray datasets
- gene expression profiles
- learning algorithm
- machine learning
- data mining