analysis (PCA) is used as a dimensionality-reduction method, and a clustering algorithm is used to classify reconstruction … network, dimensionality reduction allows measuring of the extent to which the network's main connective features (i.e. the … structure) deviate from those regarded as typical. The key to dimensionality-reduction methods is the ability to reconstruct …

distance measure together with the single-linkage hierarchical clustering algorithm to both a two-dimensional directed … Supreme Court. Despite applying the simplest combination of distance measure and clustering algorithm, analysis reveals that …

results depending on the assumed returns to scale and dimensionality. Our findings suggest to employ aggregate analyses of …

in performance depending on the variance of random errors and on the dimensionality of the true underlying consensus …. Therefore we investigated on the dimensionality of the calculated group averages. We found both methods to give too many …