Topological Data Analysis

Topological Data Analysis

Topological data analysis (TDA) can broadly be described as a collection of data analysis methods that find structure in data. These methods include clustering, manifold estimation, nonlinear dimension reduction, mode estimation, ridge estimation and persistent homology. This paper reviews some of t...

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Veröffentlicht in:Annual review of statistics and its application 2018-03, Vol.5 (1), p.501-532
1. Verfasser: Wasserman, Larry
Format: Artikel
Sprache:eng
Schlagworte:
clustering
density trees
dimension reduction
manifold estimation
persistent homology
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Beschreibung
Zusammenfassung:Topological data analysis (TDA) can broadly be described as a collection of data analysis methods that find structure in data. These methods include clustering, manifold estimation, nonlinear dimension reduction, mode estimation, ridge estimation and persistent homology. This paper reviews some of these methods.
ISSN:2326-8298
2326-831X
DOI:10.1146/annurev-statistics-031017-100045