Hahmann, MartinHabich, DirkLehner, WolfgangHärder, TheoLehner, WolfgangMitschang, BernhardSchöning, HaraldSchwarz, Holger2019-01-172019-01-172011978-3-88579-274-1https://dl.gi.de/handle/20.500.12116/19625To benefit from the large amounts of data, gathered in more and more application domains, analysis techniques like clustering have become a necessity. As their application expands, a lot of unacquainted users come into contact with these techniques. Unfortunately, most clustering approaches are complex and/or scenario specific, which makes clustering a challenging domain to access. In this demonstration, we want to present a clustering process, that can be used in a hands-on way.enText/Conference Paper1617-5468