gagolewski-kmeansklike-2015.pdf (988.82 kB)
Download fileA K-means-like algorithm for informetric data clustering
conference contribution
posted on 2015-01-01, 00:00 authored by Anna Cena, Marek GagolewskiMarek GagolewskiThe K-means algorithm is one of the most often used clustering techniques. However, when it comes to discovering clusters in informetric data sets that consist of non-increasingly ordered vectors of not necessarily conforming lengths, such a method cannot be applied directly. Hence, in this paper, we propose a K-means-like algorithm to determine groups of producers that are similar not only with respect to the quality of information resources they output, but also their quantity.