To apply score function difference based ICA algorithms to high-dimensional data.
Kun ZhangLai-Wan ChanPublished in: ESANN (2005)
Keyphrases
- high dimensional data
- high dimensional spaces
- high dimensional
- high dimensional datasets
- high dimensional data sets
- dimensionality reduction
- data sets
- score function
- nearest neighbor
- multi objective
- dimension reduction
- independent component analysis
- low dimensional
- clustering high dimensional data
- dimensional data
- original data
- data structure
- manifold learning
- similarity search
- high dimensionality
- rough sets
- data points
- probabilistic model
- feature vectors
- decision trees
- nonlinear dimensionality reduction
- feature selection
- data mining
- neural network