How big can style be? Addressing high dimensionality for recommending with style.
Diogo GonçalvesLiweu LiuAna MagalhãesPublished in: CoRR (2019)
Keyphrases
- high dimensionality
- feature space
- high dimensional
- high dimensional data
- dimensionality reduction
- feature selection
- gene expression data
- noisy data
- microarray
- subspace clustering
- dimension reduction
- small sample size
- data sets
- small sample
- data dimensionality
- high dimensional spaces
- feature selection and classification
- highly correlated
- data reduction
- collaborative filtering
- computer vision
- real world
- neural network