[Forum SIS] Joint Summer School ERS-IASC, ECAS and SIS-CLADAG on Clustering, Data Analysis and Visualization of Complex Data

[Salvatore Ingrassia]

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Apologies for cross-posting

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Joint Summer School ERS-IASC, ECAS and SIS-CLADAG

Clustering, Data Analysis and Visualization of Complex Data

May 21-25, 2018, Catania (Italy)

 

Third announcement

 

The summer school is a joint effort by ERS-IASC (European Regional Section of International Association for Statistical Computing) ECAS (European Courses in Advanced Statistics) and CLADAG (Classification and Data Analysis Group of the Italian Statistical Society).

The course is intended to achieve postgraduate training in special areas of statistics for both researchers and professional data analysts. The focus is on classification and clustering methods, in conjonction with related visualization techniques, with particular emphasis on modern high-dimensional data sets (MHDS). MHDS have recently emerged because of the fast improvement in data acquisition, storage and processing. The availability of massive data sets are of large interest also in machine learning, data science and computer science. Large data sets apply in many contexts such as biological experiments, financial markets, astronomy, etc. Classification and clustering play a key role in this new paradigm to discover the inhomogeneous structure often underlying these data, and become consequently even more emblematic methods of modern data analysis. Starting from basic concepts, the course will introduce the audience to novel techniques and software through extensive applications to real data. Numerical applications will be performed through a variety of software, including some R packages and some cloud-computing platforms (SaaS, Software as a Service) issuing from research but targeting many kinds of practitioners

 

Topics

1. Introduction to cluster analysis and classification 

2.  Mixture models, model-based clustering and algorithms. 

3. Model selection, variable selection  and  cluster validation. 

4. Further  topics in cluster analysis and classification

5. Three issues in clustering big data: Co-clustering, clustering of high-dimensional data, clustering of time series

 

Lecturers

Christophe Biernacki (UFR de Mathématiques, Université Lille 1, France)

Charles Bouveyron (Université Nice Côte d’Azur & INRIA, France) 

Pietro Coretto (Università di Salerno, Italy)

Sylvia Frühwirth Schnatter (Vienna University of Economics and Business, Austria)

Salvatore Ingrassia (Università di Catania, Italy)

 

Technical details

 

·         Participation to the Summer school is limited to max thirty (35) participants. 

·         Lectures will take place at  University of Catania, Piazza Università 2, Catania (Italy)

·         Registration fee : 330€

·         Registration fee includes: school attendance and tutorial participations, lunches, coffee breaks.

 

More information available at  http://www.clucla-summerschool.org/

 

 

 

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Salvatore Ingrassia, Ph.D. 
Professor of Statistics
Department of Economics and Business 
Data Science Research Group
University of Catania (Italy)

Corso Italia, 55 - 95129 Catania, Italy 
Tel. +39 095 7537732
Fax +39 095 7537610
e-mail:  <mailto:s.ingrassia at unict.it> s.ingrassia at unict.it 
 <http://www.dei.unict.it/docenti/salvatore.ingrassia> http://www.dei.unict.it/docenti/salvatore.ingrassia
 <http://www.datasciencegroup.unict.it/content/salvatore-ingrassia> http://www.datasciencegroup.unict.it/content/salvatore-ingrassia

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I am always satisfied with the best. (Oscar Wilde)

 

 

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