Clustering High-Dimensional Noisy Categorical Data

Tian, Z

Xu, J Tang, J

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Publisher:: TAYLOR & FRANCIS INC
Publication Type:: Journal Article
Citation:: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2024, 119, (548)
Issue Date:: 2024-10

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Field	Value	Language
dc.contributor.author	Tian, Z https://orcid.org/0000-0001-8905-0941
dc.contributor.author	Xu, J
dc.contributor.author	Tang, J
dc.date.accessioned	2025-01-15T02:51:55Z
dc.date.available	2025-01-15T02:51:55Z
dc.date.issued	2024-10
dc.identifier.citation	JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2024, 119, (548)
dc.identifier.issn	0162-1459
dc.identifier.issn	1537-274X
dc.identifier.uri	http://hdl.handle.net/10453/183547
dc.language	English
dc.publisher	TAYLOR & FRANCIS INC
dc.relation.ispartof	JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
dc.relation.isbasedon	10.1080/01621459.2023.2298028
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0104 Statistics, 1403 Econometrics, 1603 Demography
dc.subject.classification	Statistics & Probability
dc.subject.classification	3802 Econometrics
dc.subject.classification	4905 Statistics
dc.title	Clustering High-Dimensional Noisy Categorical Data
dc.type	Journal Article
utslib.citation.volume	119
utslib.for	0104 Statistics
utslib.for	1403 Econometrics
utslib.for	1603 Demography
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2025-01-15T02:51:54Z
pubs.issue	548
pubs.publication-status	Published online
pubs.volume	119
utslib.citation.issue	548

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