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Robuster robust normalization #13

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oesteban opened this issue Aug 2, 2017 · 3 comments
Open

Robuster robust normalization #13

oesteban opened this issue Aug 2, 2017 · 3 comments

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@oesteban
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oesteban commented Aug 2, 2017

Consider using MCD (http://scikit-learn.org/stable/auto_examples/covariance/plot_robust_vs_empirical_covariance.html) to calculate the sitewise location and spread of features.

(Also worth looking at https://arxiv.org/abs/1707.09752 for alternative ideas)

@oesteban
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oesteban commented Aug 2, 2017

Alternatively/additionally, we could use https://arxiv.org/abs/1601.07251 to identify deviating data cells, and mask those out of the parameter estimation in the robust sitewise normalization.

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stale bot commented Nov 25, 2018

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

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stale bot commented Mar 5, 2019

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

@stale stale bot closed this as completed Mar 12, 2019
@oesteban oesteban reopened this Mar 24, 2020
@oesteban oesteban transferred this issue from nipreps/mriqc Mar 14, 2022
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