Gravity Inspired Clustering Algorithm
Published • Dec 14, 2020
NobleIDNI5P81W79R70S82
Authors:,,
Imran Mohammed
Iain B. Collings
Stephen V. Hanly
Abstract
This paper presents a new clustering algorithm inspired by Newtonian gravity that iteratively groups data and eliminates outliers. In particular, we impose a grid over the region of interest and define a particle with data-dependent mass for each grid square. We then calculate a Newtonian inspired f...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!