A local density-based simultaneous two-level algorithm for topographic clustering.
Guénaël CabanesYounès BennaniPublished in: IJCNN (2008)
Keyphrases
- k means
- clustering method
- optimal solution
- clustering algorithm
- times faster
- detection algorithm
- experimental evaluation
- cluster analysis
- synthetic and real datasets
- optimization algorithm
- dynamic programming
- density based clustering
- spectral clustering
- preprocessing
- hierarchical clustering
- high efficiency
- decision trees
- learning algorithm
- computational cost
- subspace clustering
- clustering analysis
- significant improvement
- computational complexity
- convergence rate
- data clustering
- density based clustering algorithm
- distance metric
- matching algorithm
- self organizing maps
- segmentation algorithm
- unsupervised learning
- worst case
- probabilistic model
- np hard
- cost function
- search space
- similarity measure
- image sequences