The optimal number of clusters was determined using the semi-partial R 2, the cubic cluster criterion, the pseudo-F- and the pseudo-t 2 -statistic. Finally, the interpretability of the results ...

Detailed proofs are given in the one-dimensional case when the clustering criterion to be minimized is within cluster sum of squares. The asymptotic distributions are used to compute approximate ...

Objective To assess the co-occurrence and clustering of post-concussive symptoms in children, and to identify distinct patient phenotypes based on symptom type and severity. Methods We performed a ...

Intercluster traffic minimization is chosen as the clustering criterion to improve the service quality. Various constraints on the clustering are considered which reflect both the physical structures ...

According to the semi-partial R 2, the cubic cluster criterion, the pseudo-F, and the pseudo-t statistic, the solutions with three, four, six, and twelve clusters could be of clinical relevance.