-Hyperplane Clustering Algorithm and Its Application to Sparse Component Analysis.
Zhaoshui HeAndrzej CichockiPublished in: ISNN (2) (2007)
Keyphrases
- hyperplane
- data points
- high dimensional data sets
- support vector
- feature space
- training samples
- input space
- support vector machine
- decision boundary
- incremental learning algorithm
- linearly separable
- linear classifiers
- maximal margin
- convex hull
- kernel function
- principal components
- unsupervised learning
- support vectors
- pattern recognition
- average distance
- real valued
- kernel space
- high dimensional
- classification procedure
- linearly independent
- data sets
- svm classifier
- high dimensional data
- image data
- high resolution
- feature extraction
- image processing