Unsupervised Learning: Self-aggregation in Scaled Principal Component Space.
Chris H. Q. DingXiaofeng HeHongyuan ZhaHorst D. SimonPublished in: PKDD (2002)
Keyphrases
- principal components
- unsupervised learning
- kernel space
- dimensionality reduction
- principal component analysis
- low dimensional
- principal component regression
- null space
- supervised learning
- input space
- search space
- multivariate data
- expectation maximization
- cross validation
- data sets
- active learning
- pairwise
- pattern recognition