discrete approximation of the unobserved heterogeneity by (k-means) clustering observations separately across the individual (i …

. Using this, we apply a data processing pipeline to ultimately cluster transactions via a k-means clustering algorithm …

Purpose: Automatic grouping of data according to certain characteristics is made possible by clustering algorithms … without shortcomings, suggesting that there is ample room for improvement. This paper briefly introduces clustering techniques … of clustering techniques. Originality/value: To date, there has been no paper comparing the new k-value estimation …

any language using documents written in Polish as an example. The clustering of Polish language texts with respect to …