Persistent homology classification algorithm

Data classification is an important aspect of machine learning, as it is utilized to solve issues in a wide variety of contexts. There are numerous classifiers, but there is no single best-performing classifier for all types of data, as the no free lunch theorem implies. Topological data analysis is...

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Vydáno v:	PeerJ. Computer science Ročník 9; s. e1195
Hlavní autor:	De Lara, Mark Lexter D.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States PeerJ. Ltd 10.01.2023 PeerJ, Inc PeerJ Inc
Témata:	Algorithms Algorithms and Analysis of Algorithms Analysis Artificial intelligence Bar codes Classification Classification algorithm Classifiers Computers Data analysis Data Mining and Machine Learning Data Science Datasets Discriminant analysis Homology Information management Machine learning Mathematical functions Persistent homology Regression analysis Supervised learning Support vector machines Theory and Formal Methods Topological data analysis Topology Classification algorithm Persistent homology Supervised learning Topological data analysis
ISSN:	2376-5992, 2376-5992
On-line přístup:	Získat plný text
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