Additional MLTK Algorithms
First algorithm added is the OPTICS clustering algorithm.
This is an improvement in some ways on the DBSCAN algorithm for specific use cases.
The scikit-learn implementation (https://scikit-learn.org/stable/modules/generated/sklearn.cluster.OPTICS.html) uses the default settings, with min_pts=5 and using euclidean distance for measurement. Additionally, max_eps is a usable feature to decrease computation time.
Need to check if you've registered your algorithm properly? Run this:
| rest /servicesNS/nobody/-/configs/conf-algos | table title | search title="OPTICS"