Document Type
Conference Paper
Rights
This item is available under a Creative Commons License for non-commercial use only
Disciplines
Computer Sciences
Abstract
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 idiosyn- crasies of particular similarity measures can be illustrated and compared in CBTV allowing CBR system designers to make more informed choices.
Recommended Citation
MacNamee, B., Delany, S.:CBTV: Visualising Case Bases for Similarity Measure Design and Selection.The International Conference on Case-based Reasoning (ICCBR) 2010.
Included in
Artificial Intelligence and Robotics Commons, Databases and Information Systems Commons, Graphics and Human Computer Interfaces Commons, Numerical Analysis and Scientific Computing Commons, Theory and Algorithms Commons
Publication Details
The International Conference on Case-based Reasoning (ICCBR) 2010.