STATYSTYCZNA WERYFIKACJA „DLC” TEKKEN 7
MULTIDIMENSIONAL STATISTICAL ANALYSIS TEKKEN 7
Author(s): Robert WoźniakSubject(s): Media studies, ICT Information and Communications Technologies
Published by: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie
Keywords: k-means; hierarchical clustering; model based clustering; TOPSIS;
Summary/Abstract: The main goal of the study is to verify whether premium characters have an advantage over the starter characters. The objective was achieved by conducting a statistical analysis of victories in the TEKKEN 7 game for all 50 characters (warriors) present in the game. Methods such as k-means clustering, hierarchical clustering, and Model-Based Clustering were employed to identify homogeneous groups of characters. Additionally, a ranking based on the applied methods was constructed using the TOPSIS method.
Journal: Metody Ilościowe w Badaniach Ekonomicznych
- Issue Year: XXIV/2023
- Issue No: 4
- Page Range: 265-274
- Page Count: 10
- Language: Polish