Neighbourhood-preserving dimension reduction via localised multidimensional scaling.
Yuzhe MaKun HeJohn E. HopcroftPan ShiPublished in: Theor. Comput. Sci. (2018)
Keyphrases
- dimension reduction
- multidimensional scaling
- low dimensional
- cluster analysis
- principal component analysis
- dimensionality reduction
- high dimensional
- manifold learning
- high dimensional data
- variable selection
- feature extraction
- unsupervised learning
- input space
- kernel pca
- euclidean space
- vector space
- feature space
- singular value decomposition
- data points
- data clustering
- computer vision
- euclidean distance
- k means
- similarity search
- preprocessing
- linear discriminant analysis
- high dimensionality
- learning algorithm
- pattern recognition
- face recognition
- clustering algorithm
- feature selection
- probabilistic model
- nearest neighbor