New clusterization method based on graph connectivity search
Žurnal Sibirskogo federalʹnogo universiteta. Matematika i fizika, Tome 10 (2017) no. 4, pp. 443-449

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New method is proposed to identify clusters in datasets. The method is based on a sequential elimination of the longest distances in dataset, so that the relevant graph looses some edges. The method stops when the graph becomes disconnected.
Keywords: order, complexity, clusterization, component, connectivity.
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Michael G. Sadovsky; Eugene Yu. Bushmelev; Anatoly N. Ostylovsky. New clusterization method based on graph connectivity search. Žurnal Sibirskogo federalʹnogo universiteta. Matematika i fizika, Tome 10 (2017) no. 4, pp. 443-449. http://geodesic.mathdoc.fr/item/JSFU_2017_10_4_a4/