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Comparing clusterings and numbers of clusters by aggregation of calibrated clustering validity indexes
(Springer, 2020)
A key issue in cluster analysis is the choice of an appropriate clustering method and the determination of the best number of clusters. Different clusterings are optimal on the same data set according to different criteria, ...
Clustering of football players based on performance data and aggregated clustering validity indexes
(WALTER DE GRUYTER GMBH, 2023)
We analyse football (soccer) player performance data with mixed type variables from the 2014-15 season of eight European major leagues. We cluster these data based on a tailor-made dissimilarity measure. In order to decide ...
Using machine learning algorithms to identify predictors of social vulnerability in the event of a hazard: Istanbul case study
(COPERNICUS GESELLSCHAFT MBH, 2023)
What extent an individual or group will be affected by the damage of a hazard depends not just on their exposure to the event but on their social vulnerability - that is, how well they are able to anticipate, cope with, ...