Interpretable, similarity-driven multi-view embeddings from high-dimensional biomedical data.
Brian B. AvantsNicholas J. TustisonJames R. StonePublished in: CoRR (2020)
Keyphrases
- multi view
- biomedical data
- high dimensional
- low dimensional
- knowledge driven
- single view
- dimensionality reduction
- multiple views
- data mining methods
- d objects
- manifold learning
- three dimensional
- similarity measure
- high dimensional data
- distance measure
- systems biology
- depth map
- semi supervised
- similarity search
- life sciences
- multi view learning
- high dimensionality
- microarray data
- multi source
- distance function
- data points
- feature space
- data mining and knowledge discovery
- gene expression data
- principal component analysis
- euclidean space
- nearest neighbor
- data mining technology
- preprocessing
- object recognition
- data mining