T1. Fuzzy Methods

T2. Hierarchical Classification

T3. Non Hierarchical Classification

T4. Pattern Recognition

T5.Bayesian Classification

T6. Classification of Multiway and Functional Data

T7. Probabilistic Methods for Clustering

T8. Consensus of Classifications

T9. Spatial Clustering

T10. Validity of Clustering

T11. Neural Networks and Machine Learning Methods for Classification

T12. Genetic Algorithms

T13. Classification with Constraints

T14. Mixture and Latent Class Models for Clustering.