Natural data offer a hard challenge to data analysis. One set of tools is being developed by several teams to face this difficult task: Persistent topology. After a brief introduction to this theory, some applications to the analysis and classification of cells, liver and skin lesions, music pieces, gait, oil and gas reservoirs, cyclones, galaxies, bones, brain connections, languages, handwritten and gestured letters are shown.

Ferri, M. (2017). Persistent Topology for Natural Data Analysis — A Survey. Cham : Springer [10.1007/978-3-319-69775-8_6].

Persistent Topology for Natural Data Analysis — A Survey

FERRI, MASSIMO
2017

Abstract

Natural data offer a hard challenge to data analysis. One set of tools is being developed by several teams to face this difficult task: Persistent topology. After a brief introduction to this theory, some applications to the analysis and classification of cells, liver and skin lesions, music pieces, gait, oil and gas reservoirs, cyclones, galaxies, bones, brain connections, languages, handwritten and gestured letters are shown.
2017
Towards Integrative Machine Learning and Knowledge Extraction
117
133
Ferri, M. (2017). Persistent Topology for Natural Data Analysis — A Survey. Cham : Springer [10.1007/978-3-319-69775-8_6].
Ferri, Massimo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/610089
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