Changing Standard Error in evalclusters() Method 'gap'

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Cameron3332
Cameron3332 am 13 Apr. 2019
Bearbeitet: Cameron3332 am 13 Apr. 2019
Hey! Hopefully a very quick one, just couldn't find the answer in the documentation.
When using evalclusters(), the criterion can be set to 'gap' and the optimal number of clusters can be calculated using gap statistics. Usually one of the options when choosing this method is a Tolerance (Mathematica) or SE.factor (R) that allows the user to determine the number of standard errors used in the calculation of Gap(k). The original paper suggested using a 1-SE rule so I believe this is what MATLAB have chosen, however I need a higher level. Does anyone know if this is something that can be changed in MATLAB, and if so how to go about it?
Thanks :)
Relavent Documentation:
https://uk.mathworks.com/help/stats/clustering.evaluation.gapevaluation-class.html

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