The Value of Information in Clustering Dense Matrices: When and How to Make Use of Information

Endreß F, Kipouros T, Buker T, Wartzack S, Clarkson PJ (2022)

Publication Type: Journal article

Publication year: 2022

Journal

Proceedings of the Design Society Cambridge University Press

Book Volume: 2

Pages Range: 703-712

DOI: 10.1017/pds.2022.72

Abstract

Characterising a socio-technical system by its underlying structure is often achieved by cluster analyses and bears potentials for engineering design management. Yet, highly connected systems lack clarity when systematically searching for structures. At two stages in a clustering procedure (pre-processing and post-processing) modelled and external information were used to reduce ambiguity and uncertainty of clustering results. A holistic decision making on 1) which information, 2) when, and 3) how to use is discussed and considered inevitable to reliably cluster highly connected systems.

Authors with CRIS profile

Felix Endreß Chair of Engineering Design (KTmfk) Tina Buker Chair of Engineering Design (KTmfk) Sandro Wartzack Chair of Engineering Design (KTmfk)

Involved external institutions

University of Cambridge GB United Kingdom (GB)

How to cite

APA:

Endreß, F., Kipouros, T., Buker, T., Wartzack, S., & Clarkson, P.J. (2022). The Value of Information in Clustering Dense Matrices: When and How to Make Use of Information. Proceedings of the Design Society, 2, 703-712. https://doi.org/10.1017/pds.2022.72

MLA:

Endreß, Felix, et al. "The Value of Information in Clustering Dense Matrices: When and How to Make Use of Information." Proceedings of the Design Society 2 (2022): 703-712.

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