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Using visual statistical inference to better understand random class separations in high dimension, low sample size data.

N. Chowdhury, D. Cook, H. Hofmann, M. Majumder, E. Lee, and A. Toth. Comput. Stat., 30 (2): 293-316 (2015)

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Heike Hofmann

Christian Heikel

Hartwig Heikenfeld

Gottfried Heikenfeld

Other publications of authors with the same name

Graphical Tests for Power Comparison of Competing Designs.H. Hofmann, L. Follett, M. Majumder, and D. Cook. IEEE Trans. Vis. Comput. Graph., 18 (12): 2441-2448 (2012)Product Plots.H. Wickham, and H. Hofmann. IEEE Trans. Vis. Comput. Graph., 17 (12): 2223-2230 (2011)Manipulation of Discrete Random Variables with discreteRV.E. Hare, A. Buja, and H. Hofmann. R J., 7 (1): 185 (2015)tourr: An R Package for Exploring Multivariate Data with ProjectionsH. Wickham, D. Cook, H. Hofmann, and A. Buja. Journal of Statistical Software, (April 2011)A graphical exploration of the Deepwater Horizon oil spill.L. Follett, U. Genschel, and H. Hofmann. Comput. Stat., 29 (1): 121-132 (2014)Extending the GGobi pipeline from R.M. Lawrence, H. Wickham, D. Cook, H. Hofmann, and D. Swayne. Comput. Stat., 24 (2): 195-205 (2009)Visual Comparison of Association Rules.H. Hofmann, and A. Wilhelm. Comput. Stat., 16 (3): 399-415 (2001)Generalized Mosaic Plots in the ggplot2 Framework.H. Jeppson, and H. Hofmann. R J., 14 (4): 50-78 (February 2023)Let Graphics Tell the Story - Datasets in R.A. Unwin, H. Hofmann, and D. Cook. R J., 5 (1): 117 (2013)Authors' response to discussants.H. Wickham, D. Cook, and H. Hofmann. Stat. Anal. Data Min., 8 (4): 242-244 (2015)

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Disambiguation of "Hofmann, Heike"

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Using visual statistical inference to better understand random class separations in high dimension, low sample size data.

Please choose a person to relate this publication to

Heike Hofmann

Heike Hofmann

Christian Heikel

Hartwig Heikenfeld

Gottfried Heikenfeld

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Hofmann, Heike"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Using visual statistical inference to better understand random class separations in high dimension, low sample size data.

Please choose a person to relate this publication to

Heike Hofmann

Heike Hofmann

Christian Heikel

Hartwig Heikenfeld

Gottfried Heikenfeld

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Using visual statistical inference to better understand random class separations in high dimension, low sample size data.