Original approach for reduction of high dimensionality in unsupervised learning.
Fidae HarchliEs-Safi AbdelatifMohamed EttaouilPublished in: GOL (2016)
Keyphrases
- high dimensionality
- unsupervised learning
- dimensionality reduction
- feature selection
- low dimensionality
- high dimensional
- high dimensional data
- data reduction
- feature space
- dimension reduction
- supervised learning
- small sample size
- data dimensionality
- microarray
- gene expression data
- original data
- machine learning
- similarity search
- low dimensional
- data points
- reinforcement learning
- small number of samples
- noisy data
- principal component analysis
- nearest neighbor
- semi supervised
- highly correlated
- redundant features
- high dimensional spaces
- text classification
- high dimensional datasets
- euclidean distance
- data sets
- upper bound
- data analysis
- pattern recognition
- training data
- feature extraction
- neural network