Discussion of “Influential features PCA for high dimensional clustering”

Boaz Nadler

doi:10.1214/16-AOS1423B

Discussion of “Influential features PCA for high dimensional clustering”

Boaz Nadler

Department of Computer Science and Applied Mathematics

Weizmann Institute of Science

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	2366-2371
Number of pages	6
Journal	Annals of Statistics
Volume	44
Issue number	6
DOIs	https://doi.org/10.1214/16-AOS1423B
State	Published - Dec 2016

All Science Journal Classification (ASJC) codes

Statistics and Probability
Statistics, Probability and Uncertainty

Access to Document

10.1214/16-AOS1423BLicense: Other

Cite this

@article{e261f3cf643c43d68d45c93d498a80ca,

title = "Discussion of “Influential features PCA for high dimensional clustering”",

author = "Boaz Nadler",

note = "I thank Ery Arias-Castro and Nicolas Verzelen for interesting discussions",

year = "2016",

month = dec,

doi = "10.1214/16-AOS1423B",

language = "الإنجليزيّة",

volume = "44",

pages = "2366--2371",

journal = "Annals of Statistics",

issn = "0090-5364",

publisher = "Institute of Mathematical Statistics",

number = "6",

}

TY - JOUR

T1 - Discussion of “Influential features PCA for high dimensional clustering”

AU - Nadler, Boaz

N1 - I thank Ery Arias-Castro and Nicolas Verzelen for interesting discussions

PY - 2016/12

Y1 - 2016/12

UR - http://www.scopus.com/inward/record.url?scp=84999751996&partnerID=8YFLogxK

U2 - 10.1214/16-AOS1423B

DO - 10.1214/16-AOS1423B

M3 - مقالة

SN - 0090-5364

VL - 44

SP - 2366

EP - 2371

JO - Annals of Statistics

JF - Annals of Statistics

IS - 6

ER -

Discussion of “Influential features PCA for high dimensional clustering”

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Cite this