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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| Format: | Others |
| Language: | English |
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Malmö universitet, Malmö högskola, Institutionen för datavetenskap och medieteknik (DVMT)
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-41540 |