Bi-cross validation of spectral clustering hyperparameters
Keyword(s):
X Ray
◽
One challenge impeding the analysis of terabyte scale X-ray scattering data from the Linac Coherent Light Source (LCLS) is determining the number of clusters required for the execution of traditional clustering algorithms. Here, we demonstrate that the previous work using bi-cross validation to determine the number of singular vectors directly maps to the spectral clustering problem of estimating both the number of clusters and hyperparameter values. Applying this method to LCLS X-ray scattering data enables the identification of dropped shots without manually setting boundaries on detector fluence and provides a path toward identifying rare and anomalous events.
1995 ◽
BioXTAS RAW: a free open-source program for small-angle X-ray scattering data reduction and analysis
2018 ◽
Vol 74
(a1)
◽
pp. a219-a219
Keyword(s):
X Ray
◽
2010 ◽
Vol 163
(1-2)
◽
pp. 1-12
◽
Lipid Bilayer Structure Determined by the Simultaneous Analysis of Neutron and X-Ray Scattering Data
2008 ◽
Vol 95
(5)
◽
pp. 2356-2367
◽
Keyword(s):
X Ray
◽