Rejoinder: "Influential features PCA for high dimensional clustering"
10.1214/16-AOS1501
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Institute of Mathematical Statistics
2021
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sg-nus-scholar.10635-1923002024-04-03T05:48:43Z Rejoinder: "Influential features PCA for high dimensional clustering" Jin, J Wang, W STATISTICS & APPLIED PROBABILITY 10.1214/16-AOS1501 Annals of Statistics 44 6 2387-2400 2021-06-29T09:52:09Z 2021-06-29T09:52:09Z 2016-12-01 2021-06-29T08:27:56Z Article 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 00905364 https://scholarbank.nus.edu.sg/handle/10635/192300 Institute of Mathematical Statistics Elements |
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Asia |
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Singapore Singapore |
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| description |
10.1214/16-AOS1501 |
| author2 |
STATISTICS & APPLIED PROBABILITY |
| author_facet |
STATISTICS & APPLIED PROBABILITY Jin, J Wang, W |
| format |
Article |
| author |
Jin, J Wang, W |
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Jin, J Wang, W Rejoinder: "Influential features PCA for high dimensional clustering" |
| author_sort |
Jin, J |
| title |
Rejoinder: "Influential features PCA for high dimensional clustering" |
| title_short |
Rejoinder: "Influential features PCA for high dimensional clustering" |
| title_full |
Rejoinder: "Influential features PCA for high dimensional clustering" |
| title_fullStr |
Rejoinder: "Influential features PCA for high dimensional clustering" |
| title_full_unstemmed |
Rejoinder: "Influential features PCA for high dimensional clustering" |
| title_sort |
rejoinder: "influential features pca for high dimensional clustering" |
| publisher |
Institute of Mathematical Statistics |
| publishDate |
2021 |
| url |
https://scholarbank.nus.edu.sg/handle/10635/192300 |
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1795374643215859712 |