Topological data analysis: applications in machine learning

Topological data analysis: applications in machine learning

Recently computational topology had an important development in data analysis giving birth to the field of Topological Data Analysis. Persistent homology appears as a fundamental tool based on the topology of data that can be represented as points in metric space. In this work, we apply techniques o...

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Bibliographic Details
Main Author: Calcina, Sabrina Graciela Suárez
Other Authors: Gameiro, Márcio Fuzeto
Format: Others
Language:en
Published: Biblioteca Digitais de Teses e Dissertações da USP 2018
Subjects:
Betti numbers
Classificação de proteínas
Classificador Naive Bayes
Classificador PLS-DA
Classificador SVM
Diagramas de persistencia
Homologia persistente
KNeighbors regressor
Naive Bayes classifier
Números de Betti
Persistence diagrams
Persistent homology
PLS-DA classifier
Protein classification
Regressor KNeighbors
Regressor SVR
SVM classifier
SVR regressor
Online Access:http://www.teses.usp.br/teses/disponiveis/55/55134/tde-03012019-094950/

Internet

http://www.teses.usp.br/teses/disponiveis/55/55134/tde-03012019-094950/

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