ivis: dimensionality reduction in very large datasets using Siamese Networks.
Benjamin SzubertIgnat DrozdovPublished in: J. Open Source Softw. (2019)
Keyphrases
- dimensionality reduction
- dimensionality reduction methods
- principal component analysis
- data representation
- feature extraction
- high dimensionality
- dealing with high dimensional data
- feature selection
- data sets
- uci machine learning repository
- computer networks
- network structure
- linear discriminant analysis
- feature space
- high dimensional data
- network analysis
- network design
- high dimensional
- complex networks
- discriminant analysis
- principal components
- synthetic datasets
- social networks
- synthetic and real datasets
- low dimensional
- structure preserving
- pattern recognition and machine learning