Meta Platforms, Inc.
Clustering using locality-sensitive hashing with improved cost model

Last updated:

Abstract:

Embodiments are disclosed for using an improved locality sensitive hashing (LSH) operation for the K-means clustering algorithm. In some embodiments, parameters of an LSH function are optimized with respect to a new cost model. In other embodiments, an LSH operation is applied with optimized parameters to a K-means clustering algorithm.

Status:
Grant
Type:

Utility

Filling date:

8 Mar 2017

Issue date:

15 Sep 2020