QLS guest seminar - Wednesday 11 October

[Sarnataro Erica]

*QLS  guest seminar  -  Wednesday 11 October
*ICTP, Central Area, 2nd floor, old SISSA building, Via Beirut*
*
Title: Automatic topography of complex data sets by accurate density 
estimation

Speaker: Alex Rodriguez - Statistical and Biological Physics, SISSA

Abstract:
Data sets can be considered an ensemble of realizations drawn from a 
density distribution. Obtaining a synthetic description of this 
distribution allows to rationalize the underlying generating process and 
building human-readable models. In simple cases, visualizing the 
distribution in a suitable low-dimensional projection is enough to 
capture its main features but real-world data sets are often embedded in 
a high-dimensional space.
I present a procedure that allows to obtain such a synthetic description 
in an automatic way with the only information of pairwise data distances 
(or similarities). This methodology is based on a reliable estimation of 
the intrinsic dimension of the dataset and the probability density 
function coupled with a modified Density Peaks clustering algorithm.
The final outcome of all this machinery working together is a 
hierarchical tree that summarizes the main features of the data set and 
a classification of the data that maps which of these features they 
belong to.

Everyone interested is most welcome to attend!

-- 
Erica Sarnataro
Group Secretary
Quantitative Life Sciences
The Abdus Salam International Centre for Theoretical Physics (ICTP)
Trieste,  Italy
Tel. +39-040-2240623
www.ictp.it/research/qls.aspx
e-mail:qls at ictp.it