forked from lmwalkowicz/KeplerML
-
Notifications
You must be signed in to change notification settings - Fork 2
Home
d-giles edited this page Nov 23, 2016
·
2 revisions
KeplerML is an in-progress project to analyze light curves. It is being designed using light curves from the Kepler full frame images but is applicable to set of light curves.
- KeplerML.py extracts 60 features from each light curve.
- ClusterWorkbook can be used to create k-means clusters and DBSCAN clusters, to find outliers, and to explore the data.
- OptimalK.py finds the most likely number of clusters given a set of light curves and features based on: