Using a dataset of football player performance data, we discuss exemplarily different decisions by the user that are required for dissimilarity definition and clustering, namely representation, transformation, standardisation and variable weighting.
Football and the Dark Side of Cluster Analysis / Hennig C; Akhanli S. - STAMPA. - (2017), pp. 81-87. [10.20347/WIAS.REPORT.29]
Football and the Dark Side of Cluster Analysis
Hennig C;
2017
Abstract
Using a dataset of football player performance data, we discuss exemplarily different decisions by the user that are required for dissimilarity definition and clustering, namely representation, transformation, standardisation and variable weighting.File in questo prodotto:
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