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
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on 16-03-2009
This 4-day course will be given by a combination of academic experts, industrial designers and software developers. It provides an overview of MEMS processing technologies and how to approach the design of MEMS devices, including concepts of micro-mechanics (accelerometer and gyroscope) microfluidics, etc. The emphasis throughout is to provide participants with hands-on experience. The course is primarily aimed at postgraduate students and researchers from European universities and research institutes who may participate free of charge (includes lunch, coffee breaks and documentation). Booking is made online at the website: http://www.stimesi.rl.ac.uk/booking_form.cfm
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