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Title: Homology and persistent homology
Author: Nobbe Fisas, Fritz Pere
Director/Tutor: Belchí Guillamón, Francisco
Keywords: Topologia algebraica
Treballs de fi de grau
Anàlisi multivariable
Python (Llenguatge de programació)
Algebraic topology
Bachelor's thesis
Multivariate analysi
Python (Computer program language)
Issue Date: 19-Jan-2020
Abstract: [en] Extracting information from data sets that are high-dimensional, incomplete and noisy is generally challenging. The aim of this work is to explain a homology theory for data sets, called Persistent Homology, and the topology and algebra behind it. Moreover, we will show different ways to represent it and finally computing some examples with the help of the GUDHI software for Python.
Note: Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2020, Director: Francisco Belchí Guillamón
Appears in Collections:Treballs Finals de Grau (TFG) - Matemàtiques

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