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

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.

Dependency and Structure Modelling for stakeholder management: an example in Landscape Regeneration

“…"Integrative Projects and Organisations", including projects and organisations mainly involved in general governance, interdisciplinary research, or broad, comprehensive development efforts in the Fens. This last cluster is recognized as a framework, intended with Endress et al (2022) as "a sending and receiving bus at the same time".…”