Compressive Sensing and Hierarchical Clustering for Microarray Data with Missing Values.
Angelo CiaramellaDavide NardoneAntonino StaianoPublished in: CIBB (2018)
Keyphrases
- hierarchical clustering
- missing values
- microarray data
- compressive sensing
- microarray
- sparse representation
- missing data
- high dimensional data
- random projections
- gene selection
- gene expression
- data sets
- gene expression data
- clustering method
- feature selection
- high dimensional
- cluster analysis
- clustering algorithm
- image representation
- k means
- signal processing
- model selection
- training data
- matrix completion
- informative features
- high dimensionality
- computer vision
- data mining