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Cluster Analysis


Professor Enza Messina

Period and location

The lectures will be held in "Sala Seminari" of Bicocca U14 building (viale Sarca 336/14) according the following schedule:


15 April h. 9:30- 11:30

28 April h. 14:30-16:30

29  April h. 9:30- 11:30

12 May h. 14:30-16:30

16 May h. 14:30-16:30

19 May h. 14:30-16:30

23 May h. 14:30-16:30

27 May h. 9:30- 11:30

30 May h. 14:30-16:30


Registration: Send an email to and




Topic - Aim organization

The objective of this course is to give a comprehensive and systematic description of the core methods for data clustering with an emphasis on the new advances and open challenges. During the course various problems and scenarios will be explored pertaining to text, multimedia, biological, categorical, network, streams, and uncertain data. 

The course is intended to be particularly interesting to computer scientists and applied mathematicians working on data-intensive applications.


We will start with an introduction to cluster analysis and goes on to explore proximity measures, hierarchical clustering, partition clustering, kernel-based clustering, sequential data clustering, large-scale data clustering, data visualization, high-dimensional data clustering and cluster validation. A set of application will be selected from different domains.

Final Examination

Final Report

Operating methods

-       Lectures and discussions about specific papers

-       Seminars

Educational Material

Papers, slides

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(C) Copyright 2016 - Dipartimento Informatica Sistemistica e Comunicazione - Viale Sarca, 336
20126 Milano - Edificio U14 - ultimo aggiornamento di questa pagina 18/04/2014