Document Type

Conference Paper


This item is available under a Creative Commons License for non-commercial use only


Computer Sciences

Publication Details

The International Conference on Case-based Reasoning (ICCBR) 2010.

Alessandria Italy 19-22 July, 2010


In CBR the design and selection of similarity measures is paramount. Selection can benefit from the use of exploratory visualisation- based techniques in parallel with techniques such as cross-validation ac- curacy comparison. In this paper we present the Case Base Topology Viewer (CBTV) which allows the application of different similarity mea- sures to a case base to be visualised so that system designers can explore the case base and the associated decision boundary space. We show, using a range of datasets and similarity measure types, how the idiosyncrasies of particular similarity measures can be illustrated and compared in CBTV allowing CBR system designers to make more informed choices.