Robust Data Clustering in Mercer Kernel-Induced Feature Space.
XuLei YangQing SongMeng Joo ErPublished in: ISNN (1) (2006)
Keyphrases
- probabilistic model
- data clustering
- feature space
- kernel induced
- k means
- cluster analysis
- unsupervised learning
- clustering algorithm
- feature selection
- fuzzy c means
- dimensionality reduction
- low dimensional
- high dimensionality
- feature extraction
- spectral clustering
- high dimensional
- kernel methods
- kernel function
- random projections
- data points
- knowledge discovery
- data sets
- training set
- linear discriminant analysis
- decision trees
- machine learning