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LSC: Supervised classification of time-series variable stars

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Ada Coda
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LSC: Supervised classification of time-series variable stars

Postby Ada Coda » Tue Jul 31, 2018 10:03 pm

LSC: Supervised classification of time-series variable stars

Abstract: LSC (LINEAR Supervised Classification) trains a number of classifiers, including random forest and K-nearest neighbor, to classify variable stars and compares the results to determine which classifier is most successful. Written in R, the package includes anomaly detection code for testing the application of the selected classifier to new data, thus enabling the creation of highly reliable data sets of classified variable stars.

Credit: Johnston, Kyle B.

Site: https://github.com/kjohnston82/LINEARSu ... sification
https://ui.adsabs.harvard.edu/#abs/2017NewA...52...35J

Bibcode: 2018ascl.soft07033J

ID: ascl:1807.033
Last edited by Ada Coda on Tue Jul 31, 2018 10:03 pm, edited 1 time in total.
Reason: Updated code entry.

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