Multidimensional scaling with discrimination coefficients for supervised visualization of high-dimensional data.
Daniel P. BerrarGeorg OhmayerPublished in: Neural Comput. Appl. (2011)
Keyphrases
- multidimensional scaling
- high dimensional data
- low dimensional
- dimensionality reduction
- feature selection
- high dimensional
- high dimensionality
- unsupervised learning
- manifold learning
- data points
- dimension reduction
- principal component analysis
- input space
- vector space
- nearest neighbor
- linear discriminant analysis
- sparse representation
- euclidean distance
- euclidean space
- linear combination
- similarity search
- variable selection
- low rank
- feature space
- supervised learning
- text data
- neural network
- learning algorithm
- cluster analysis
- data sets
- feature extraction
- active learning
- visual data
- machine learning