期刊
ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 5
卷 5, 期 -, 页码 501-532出版社
ANNUAL REVIEWS
DOI: 10.1146/annurev-statistics-031017-100045
关键词
clustering; persistent homology; dimension reduction; manifold estimation; density trees
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.
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