Self-organizing subspace clustering for high-dimensional and multi-view data.
Aluizio F. R. AraújoVictor Oliveira AntoninoKarina L. Ponce-GuevaraPublished in: Neural Networks (2020)
Keyphrases
- multi view
- high dimensional data
- high dimensional
- subspace clustering
- data points
- data sets
- high quality
- data analysis
- image data
- multiple views
- single view
- multiple viewpoints
- low dimensional
- computer vision
- data distribution
- three dimensional
- machine learning
- high dimensionality
- co training
- multi view clustering
- range images
- depth map
- semi supervised
- knowledge discovery
- neural network