A distance-relatedness dynamic model for clustering high dimensional data of arbitrary shapes and densities.
Noha A. YousriMohamed S. KamelMohamed A. IsmailPublished in: Pattern Recognit. (2009)
Keyphrases
- dynamic model
- clustering high dimensional data
- arbitrary shape
- inter cluster
- experimental data
- subspace clustering
- high dimensional
- clustering algorithm
- high dimensional data
- control scheme
- arbitrary shaped
- high efficiency
- distance function
- distance measure
- co occurrence
- shear stress
- spatial objects
- maximum likelihood