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Title: Difference of photometric properties between regular and non-regular                                           
       Miras in the Magellanic Clouds
Authors: Ou J., Ngeow C.
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Description of contents: This repository contains the numerical values for
    all of the features for our data (including the training set) and
    classification results. The specific files included in this deposit are
    as follows:
    
    ReadMe.txt                              This Readme file.
    Feature_table_with_training_data.txt    Feature Table with training data
    Feature_table_with_classify_data.txt    Feature table with classify data
    Classify_result_table.txt               Mira Regular/Non-regular 
                                            machine-learning classification

System requirements: The files are formatted according to the machine
    readable format used by the AAS Journals and CDS/VizieR. Specific
    information on the structure of MRT files can be found at:

        AAS: https://journals.aas.org/mrt-overview/
        CDS: http://cds.u-strasbg.fr/doc/catstd.htx

    These files can be read in python using the astropy package:

        from astropy.table import Table
        data = Table.read("Classify_result_table.txt", format="ascii.cds")

    or with the most recent version of TOPCAT (> Version 4.8)

Additional comments: The features of training data and classify data were
    calculated by Python package Feature Analysis for Time Series (FATS),
    and the result was presented in the file names
    "Feature_table_with_training_data.txt" and
    "Feature_table_with_classify_data.txt".  Then these two data set were
    used in our machine learning process. The classification result of Mira
    was presented in the file "Classify_result_table.txt".

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