Allgood, NickBorle, AjinkyaNicholas, Charles2023-06-082023-06-082023-05-15https://doi.org/10.48550/arXiv.2305.08626http://hdl.handle.net/11603/28137One of the major benefits of quantum computing is the potential to resolve complex computational problems faster than can be done by classical methods. There are many prototype-based clustering methods in use today, and the selection of the starting nodes for the center points is often done randomly. Clustering often suffers from accepting a local minima as a valid solution when there are possibly better solutions. We will present the results of a study to leverage the benefits of quantum computing for finding better starting centroids for prototype-based clustering.14 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/Text