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research article

giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration

Tauzin, Guillaume  
•
Lupo, Umberto
•
Tunstall, Lewis
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January 1, 2021
Journal Of Machine Learning Research

We introduce giotto-tda, a Python library that integrates high-performance topological data analysis with machine learning via a scikit-learn {compatible API and state-of-the-art C++ implementations. The library's ability to handle various types of data is rooted in a wide range of preprocessing techniques, and its strong focus on data exploration and interpretability is aided by an intuitive plotting API. Source code, binaries, examples, and documentation can be found at https://github.com/giotto-ai/giotto-tda.

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Type
research article
Web of Science ID

WOS:000628529500039

Author(s)
Tauzin, Guillaume  
•
Lupo, Umberto
•
Tunstall, Lewis
•
Perez, Julian Burella
•
Caorsi, Matteo
•
Medina-Mardones, Anibal M.  
•
Dassatti, Alberto
•
Hess, Kathryn  
Date Issued

2021-01-01

Published in
Journal Of Machine Learning Research
Volume

22

Subjects

Automation & Control Systems

•

Computer Science, Artificial Intelligence

•

Computer Science

•

topological data analysis

•

persistent homology

•

mapper

•

machine learning

•

data exploration

•

python

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
UPHESS  
Available on Infoscience
April 24, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/177541
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