Clustering interval data through kernel-induced feature space.
Anderson F. B. F. da CostaBruno A. PimentelRenata M. C. R. de SouzaPublished in: J. Intell. Inf. Syst. (2013)
Keyphrases
- kernel induced
- feature space
- interval data
- data clustering
- high dimensionality
- minmax regret
- data points
- clustering algorithm
- k means
- shortest path problem
- high dimensional
- clustering method
- feature selection
- fuzzy c means
- feature vectors
- kernel methods
- dimensionality reduction
- principal component analysis
- feature extraction
- support vector machine
- multivariate data
- kernel function
- cluster analysis
- temporal data
- dimension reduction
- spectral clustering
- random projections
- image processing
- fuzzy clustering
- original data
- data streams
- document clustering
- categorical data
- euclidean distance
- unsupervised learning
- feature set
- active learning
- training set