This chapter describes the creation of the complete mapping in MARE Clustering on the basis of graph clustering. Section 8.1 describes the goals and criteria of MARE Clustering. Section 8.2 introduces the actual clustering algorithm and its underlying graph model. Section 8.3 discusses the impact of dependencies and their weights on the clustering, while Section 8.4 examines the role of arbitrary decisions taken by the clustering algorithm. Section 8.5 discusses the validation of the clustering result before Section 8.6 summarises the results of the chapter.


Cluster Algorithm Cluster Result Initial Mapping Dependency Type High Cohesion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Vieweg+Teubner Verlag | Springer Fachmedien Wiesbaden GmbH 2012

Authors and Affiliations

  • Niels Streekmann

There are no affiliations available

Personalised recommendations