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Featureless classification of light curves
Author(s) -
S. D. Kügler,
Nikolaos Gianniotis,
Kai Polsterer
Publication year - 2015
Publication title -
monthly notices of the royal astronomical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.058
H-Index - 383
eISSN - 1365-2966
pISSN - 0035-8711
DOI - 10.1093/mnras/stv1181
Subject(s) - classifier (uml) , pattern recognition (psychology) , artificial intelligence , feature vector , time series , computer science , representation (politics) , series (stratigraphy) , linear classifier , mathematics , data mining , machine learning , law , paleontology , political science , politics , biology
In the era of rapidly increasing amounts of time series data, classification of variable objects has become the main objective of time-domain astronomy. Classification of irregularly sampled time series is particularly difficult because the data cannot be represented naturally as a vector which can be directly fed into a classifier. In the literature, various statistical features serve as vector r...

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