Representation Learning for the Clustering of Multi-Omics Data.
Gautier ViaudPrasanna MayilvahananPaul-Henry CournèdePublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2022)
Keyphrases
- data points
- high dimensional data
- data sets
- data objects
- data processing
- data quality
- data collection
- raw data
- unsupervised learning
- learning systems
- background knowledge
- high quality
- training data
- spectral clustering
- learning algorithm
- original data
- synthetic datasets
- data mining techniques
- reinforcement learning
- prior knowledge
- data structure
- self organizing maps
- multidimensional data
- clustering algorithm
- learning models
- decision trees
- hierarchical clustering
- similarity measure
- learning process
- supervised learning
- k means
- active learning
- clustering method
- data sources
- knowledge discovery
- image data
- input data
- data warehouse