Statistical Methods for
Unsupervised and Supervised Learning
with Dimensionality Reduction

Stimulate collaborations and develop research together

 

 

About

In today’s information age, huge amounts of data, often with a complex multidimensional structure, are available in many fields. To learn from such data, statistical methods of classification, clustering and dimensionality reduction play a key role.

The CLADAG (CLAssification and Data Analysis Group of the Italian Statistical Society) school aims to present, analyse and discuss the statistical methods for unsupervised and supervised learning with dimensionality reduction. The course is especially dedicated, but not limited to Master’s students, doctoral students and postdoctoral researchers.

Starting from basic concepts, the course will focus on novel techniques and software for unsupervised and supervised learning with dimensionality reduction through extensive applications to real data.

During the lectures and especially on the last day, the course will be dedicated to the ongoing research activity of the lecturers and, possibly, of the participants on the topics of the course to stimulate possible collaborations.

Participation in the CLADAG school is limited to a maximum of thirty (30) participants.

Software used: Matlab, Python, R.

 

February 19 - 23, 2024

Department of Statistical Sciences, Sapienza University of Rome (Italy)

 

Scientific Organizers

Paolo Giordani, Department of Statistical Sciences, Sapienza University of Rome

Maurizio Vichi, Department of Statistical Sciences, Sapienza University of Rome

 

Local Organizers

Paolo Giordani, Department of Statistical Sciences, Sapienza University of Rome

Ionel Prunila, Department of Statistical Sciences, Sapienza University of Rome

Maurizio Vichi, Department of Statistical Sciences, Sapienza University of Rome

 

Lecturers

Michael Greenacre, Pompeu Fabra University

Agostino Di Ciaccio, Sapienza University of Rome

Paolo Giordani, Sapienza University of Rome

Roberto Rocci, Sapienza University of Rome

Maurizio Vichi, Sapienza University of Rome