BloodBowl 2 race clustering by different playstyles

BloodBowl 2 race clustering by different playstyles

The number of features and number of instances has a significant impact on computation time and memory footprint for machine learning algorithms. Reducing the number of features reduces the memory footprint and computation time and allows for a number of instances to remain constant. This thesis inv...

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Bibliographic Details
Main Author:	Ivanauskas, Tadas
Format:	Others
Language:	English
Published:	Malmö universitet, Malmö högskola, Institutionen för datavetenskap och medieteknik (DVMT) 2020
Subjects:	Machine learning clustering classification feature reduction cluster analysis Computer Sciences Datavetenskap (datalogi)
Online Access:	http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-41540

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