on 09-04-2009
Tutorial: Unsupervised Learning: From Single Clustering to Ensemble Methods
Presenter: Prof. Ana Fred
Date: April 9 2009, 13h-16h
Location: Room 11.26, 11th floor, North Tower, Instituto Superior Técnico
Topics addressed:
1. Basic Concepts of data clustering
1.1 Problem formulation
1.2 Taxonomies of Clustering Techniques
1.3. Difficulties and open problems
2. Clustering Algorithms
2.1 Hierarchical Methods (Single-link; Complete link; Dissimilarity Increments)
2.2 Partitional Methods (K-means; Spectral Clustering; EM Gaussian Mixture Decomposition)
3. Validation of Custering Solutions
3.1. Cluster Validity Measures
4. Clustering Ensemble Methods
4.1. Basic Formulation
4.2. Evidence Accumulation Clustering (EAC)
4.3. Multi-Criteria EAC