Visual cognitive algorithms for high-dimensional data and super-intelligence challenges.
Boris KovalerchukPublished in: Cogn. Syst. Res. (2017)
Keyphrases
- high dimensional data
- high dimensional spaces
- dimensionality reduction
- high dimensional
- low dimensional
- nearest neighbor
- high dimensions
- data analysis
- subspace clustering
- dimension reduction
- original data
- data sets
- similarity search
- data structure
- learning algorithm
- dimensional data
- high dimensionality
- input space
- manifold learning
- low rank
- variable selection
- lower dimensional
- linear discriminant analysis
- data points
- computer vision
- high dimensional data sets
- clustering high dimensional data