High-resolution Self-Organizing Maps for advanced visualization and dimension reduction.
Ayu SaraswatiVan Tuc NguyenMarkus HagenbuchnerAh Chung TsoiPublished in: Neural Networks (2018)
Keyphrases
- self organizing maps
- dimension reduction
- high resolution
- unsupervised learning
- principal component analysis
- high dimensional
- feature extraction
- generative topographic mapping
- neural network
- linear discriminant analysis
- low dimensional
- competitive learning
- dimensionality reduction
- cluster analysis
- singular value decomposition
- manifold learning
- high dimensional problems
- visualization methods
- high dimensional data
- feature selection
- k means
- super resolution
- input data
- neural gas
- high dimensionality
- supervised learning
- knn
- feature space
- image processing
- network anomaly detection
- face recognition