An adaptive flocking algorithm for performing approximate clustering.
Gianluigi FolinoAgostino ForestieroGiandomenico SpezzanoPublished in: Inf. Sci. (2009)
Keyphrases
- path planning
- experimental evaluation
- k means
- dynamic programming
- learning algorithm
- fuzzy clustering
- data clustering
- times faster
- data points
- segmentation algorithm
- detection algorithm
- high accuracy
- synthetic and real datasets
- matching algorithm
- clustering method
- simulated annealing
- worst case
- np hard
- multi objective
- optimal solution
- similarity measure
- decision trees