In recent years the statistical analysis of topological signatures computable from a possibly high-dimensional point cloud has attracted increasing attention from a theoretical as well as applied point of view. In this work we briefly review the basic techniques and main inferential results available in the TDA (Topological Data Analysis) toolkit, showing them in action on two classification problems related to activity tracking tasks.
Topological Signatures for Classification / Brutti, Pierpaolo; Padellini, Tullia. - STAMPA. - (2016), pp. 1-6. (Intervento presentato al convegno 48TH MEETING OF THE ITALIAN STATISTICAL SOCIETY tenutosi a UNIVERSITY OF SALERNO nel JUNE 8, 2016 – JUNE 10, 2016).
Topological Signatures for Classification
BRUTTI, Pierpaolo;PADELLINI, TULLIA
2016
Abstract
In recent years the statistical analysis of topological signatures computable from a possibly high-dimensional point cloud has attracted increasing attention from a theoretical as well as applied point of view. In this work we briefly review the basic techniques and main inferential results available in the TDA (Topological Data Analysis) toolkit, showing them in action on two classification problems related to activity tracking tasks.| File | Dimensione | Formato | |
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