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Clusteranalyse

In: Data Analytics im Risikomanagement

Author

Listed:
  • Frank Romeike

    (RiskNET GmbH)

  • Gabriele Wieczorek

    (Hochschule Hamm-Lippstadt)

Abstract

Zusammenfassung Eine Clusteranalyse ist eine Methode der multivariaten Statistik, die dazu dient, eine Menge von Objekten oder Datenpunkten in Gruppen (Cluster) zu unterteilen. Diese Gruppen werden so gebildet, dass die Objekte innerhalb eines Clusters möglichst ähnlich (homogen) und die Objekte verschiedener Cluster möglichst unähnlich (heterogen) zueinander sind. Ziel der Clusteranalyse ist es, Strukturen in Daten zu entdecken, indem man Objekte auf Basis ihrer Merkmale oder Eigenschaften gruppiert. Die Anwendungsbereiche der Clusteranalyse sind vielfältig und reichen von Marktsegmentierungen über die Genomik bis hin zur Bild- und Spracherkennung. In der Marktforschung wird sie beispielsweise verwendet, um Kundengruppen mit ähnlichen Kaufverhaltensweisen oder Präferenzen zu identifizieren. Im folgenden Kapitel werden die unterschiedlichen Methoden der Clusteranalyse an konkreten Fallbeispielen aus dem Risikomanagement erläutert.

Suggested Citation

  • Frank Romeike & Gabriele Wieczorek, 2026. "Clusteranalyse," Springer Books, in: Data Analytics im Risikomanagement, chapter 5, pages 151-235, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-48843-7_5
    DOI: 10.1007/978-3-658-48843-7_5
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