Rejoinder: "Influential features PCA for high dimensional clustering"

Please use this identifier to cite or link to this item: https://doi.org/10.1214/16-AOS1501

DC Field	Value
dc.title	Rejoinder: "Influential features PCA for high dimensional clustering"
dc.contributor.author	Jin, J
dc.contributor.author	Wang, W
dc.date.accessioned	2021-06-29T09:52:09Z
dc.date.available	2021-06-29T09:52:09Z
dc.date.issued	2016-12-01
dc.identifier.citation	Jin, J, Wang, W (2016-12-01). Rejoinder: "Influential features PCA for high dimensional clustering". Annals of Statistics 44 (6) : 2387-2400. ScholarBank@NUS Repository. https://doi.org/10.1214/16-AOS1501
dc.identifier.issn	00905364
dc.identifier.uri	https://scholarbank.nus.edu.sg/handle/10635/192300
dc.publisher	Institute of Mathematical Statistics
dc.source	Elements
dc.type	Article
dc.date.updated	2021-06-29T08:27:56Z
dc.contributor.department	STATISTICS & APPLIED PROBABILITY
dc.description.doi	10.1214/16-AOS1501
dc.description.sourcetitle	Annals of Statistics
dc.description.volume	44
dc.description.issue	6
dc.description.page	2387-2400
dc.published.state	Published
Appears in Collections:	Elements Staff Publications

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