ALEXANDRIA, Va., Dec. 2 -- United States Patent no. 12,488,065, issued on Dec. 2.
"System and method of clustering machine learning flows" was invented by Arturo Geigel (San Juan, Puerto Rico).
According to the abstract* released by the U.S. Patent & Trademark Office: "A system and method for clustering machine learning workflows according to inclusion/exclusion criteria. The clustering is based on a plurality of information obtained from operators on the workflow, the position on the workflow of each operator and the data each operator is working on. The position of each operator on the workflow is obtained from its graph-based representation embedded on a coordinate system."
The patent was filed on Dec. 30, 2020, under Application No. ...