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EARLY REGISTRATION DEADLINE IS TODAY!
Few Places Are Still Available
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INTERNATIONAL CLADAG SCHOOL
Statistical Methods for Unsupervised and Supervised Learning with
Dimensionality Reduction
- Stimulate collaborations and develop research together -
Rome (Italy), February 19-23, 2024
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 international 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.
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
Topics
- Dimensionality reduction for quantitative data
- Dimensionality reduction for categorical data
- Fuzzy unsupervised classification
- Model-based (unsupervised) classification
- Supervised Classification
Software
- Matlab
- Python
- R
Early registration deadline: January, 19, 2024
Standard registration deadline: February, 15, 2024
More information available at
https://www.dss.uniroma1.it/it/cladag2024school
Best regards,
Paolo Giordani & Maurizio Vichi
Department of Statistical Sciences
Sapienza University of Rome
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