Correlation-Based Multidimensional Scaling for Unsupervised Subspace Learning.
Guanghui HeLingFeng ZhangZhaowei ShangPublished in: Int. J. Wavelets Multiresolution Inf. Process. (2012)
Keyphrases
- subspace learning
- multidimensional scaling
- low dimensional
- dimensionality reduction
- manifold learning
- unsupervised learning
- principal component analysis
- semi supervised
- high dimensional
- high dimensional data
- dimension reduction
- euclidean distance
- sparse coding
- data points
- kernel pca
- cluster analysis
- data representation
- pattern recognition
- feature extraction
- sparse representation
- feature space
- vector space
- euclidean space
- machine learning
- learning algorithm
- geodesic distance
- metric learning
- feature selection
- active learning
- singular value decomposition
- supervised learning
- data sets
- text classification
- signal processing