pricing with cross-sectional heterogeneity in compensation for risk. We extend k-means clustering to group assets by risk …

be made with caution. DEA results enabled us to perform clustering of bus lines based on the derived piecewise production …

structure makes such demand outliers hard to detect. We propose a two-step approach combining clustering with functional outlier …

and a developed branch-and-bound procedure. Moreover, a clustering-based algorithm has been presented that can provide a …

six classes using a hierarchical clustering algorithm based on five selected spatial characteristics. The six categories …

multiple operations, we employ a clustering approach on 69 firm characteristics and allocate companies to novel economic … to quantify feature importance for clustering methods, finding that size drives differences across classical industries … while book-to-market and financial liquidity variables matter for clustering-based sectors. …