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Nonparametric cluster significance testing with reference to a unimodal null distribution

Nonparametric cluster significance testing with reference to a unimodal null distribution

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2445968415

Nonparametric cluster significance testing with reference to a unimodal null distribution

About this item

Full title

Nonparametric cluster significance testing with reference to a unimodal null distribution

Publisher

United States: Blackwell Publishing Ltd

Journal title

Biometrics, 2021-12, Vol.77 (4), p.1215-1226

Language

English

Formats

Publication information

Publisher

United States: Blackwell Publishing Ltd

More information

Scope and Contents

Contents

Cluster analysis is an unsupervised learning strategy that is exceptionally useful for identifying homogeneous subgroups of observations in data sets of unknown structure. However, it is challenging to determine if the identified clusters represent truly distinct subgroups rather than noise. Existing approaches for addressing this problem tend to d...

Alternative Titles

Full title

Nonparametric cluster significance testing with reference to a unimodal null distribution

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2445968415

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2445968415

Other Identifiers

ISSN

0006-341X

E-ISSN

1541-0420

DOI

10.1111/biom.13376

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