Reduction of Dimensionality for Perceptual Clustering.
César BenítezDaniel Kvedaras LanderJosé RamirezPublished in: IJCNN (5) (2000)
Keyphrases
- clustering algorithm
- high dimensionality
- high dimensional
- k means
- dimensionality reduction
- unsupervised learning
- clustering method
- cluster analysis
- graph theoretic
- spectral clustering
- data clustering
- space reduction
- perceptual grouping
- hierarchical clustering
- document clustering
- data points
- feature space
- outlier detection
- high dimensional data
- anomaly detection
- distance measure
- human visual system
- categorical data
- low level
- reduction method
- intrinsic dimensionality
- data sets