Buchtel College of Arts and Sciences
Date of Last Revision
Number of Credits
Bachelor of Science
Date of Expected Graduation
The esports game of "Hearthstone" is a collectible card game with a competitive format that has every team submit 4 decks of 30 cards each. Using K-Means clustering an adaptable way to group data for classifying can be made that works well in every update of the game. This system will take in a list of decks and cluster them to easily classify large amounts of information in a timely fashion. This system will be able to be used by the Universities esports department for years to come to aid the preparation of "Hearthstone" matches. This model uses qualities about the cards in the deck to generate a vector usable by a K-Means and Random Forest classifiers. This model has shown extensive results and consistently reaches seventy percent accuracy for entire datasets.
Honors Faculty Advisor
Inzitari, Tim, "Clustering Data to Classify Hearthstone Decks" (2021). Williams Honors College, Honors Research Projects. 1261.