A Bi-Clustering Agent-based Approach for Map Segmentation.
Abdelhamid BouchachiaMarkus ProsseggerPublished in: IEEE IA (2009)
Keyphrases
- clustering algorithm
- segmentation algorithm
- multi agent systems
- multi agent
- unsupervised clustering
- multiagent systems
- k means
- clustering method
- image segmentation
- level set
- segmentation method
- autonomous agents
- multiple agents
- medical images
- hierarchical clustering
- shape prior
- data clustering
- region growing
- agent model
- information theoretic
- bayesian information criterion
- image segmentations
- multiscale
- business intelligence
- dynamic environments
- fully automatic
- decision making
- medical imaging
- mobile agents
- multiple objects
- intelligent agents
- image analysis
- fully unsupervised
- agent systems
- parametric representation
- agglomerative clustering
- normalized cut
- segmentation accuracy
- pedagogical agents
- self organizing maps
- document clustering
- cluster analysis