Central Point Selection in Dimension Reduction Projection Simple-Map with Binary Quantization.
Quming JinMasaya NakashimaTakeshi ShinoharaKouichi HirataTetsuji KuboyamaPublished in: JSAI-isAI Workshops (2014)
Keyphrases
- dimension reduction
- feature extraction
- high dimensional
- high dimensional problems
- principal component analysis
- high dimensional data
- linear discriminant analysis
- linear projection
- low dimensional
- manifold learning
- high dimensionality
- partial least squares
- random projections
- cluster analysis
- data mining and machine learning
- feature space
- preprocessing
- manifold embedding
- neural network
- dimension reduction methods
- maximum likelihood
- nearest neighbor
- bayesian networks
- training data
- face recognition
- feature selection