The suggested approach combines the phases of cluster validity and cluster tendency inside the scope of the clustering algorithm. The algorithm is based on a probabilistic approach and is invariant to the scaling of features. The result is an efficient algorithm whose performance is demonstrated on real and synthetic data.
- Cluster analysis
- Probabilistic validation
- Projection pursuit
- Simulating annealing
- Unsupervised hierarchical clustering