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Clusterization of Ethereum-based token

Overview

The purpose of this paper is to optimize portfolio structure for crypto investors. We have tried to collate Ethereum-based assets and describe similar token groups. We have used publicly available data, to which we have applied the affinity propagation clusterization algorithm to automatically determine the structure of Ethereum-based tokens.


Report date 06 Aug 2018
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