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Shape matching and clustering in design

Lim, Sungwoo; Duffy, Alex H. B. and Lee, Byungsuk (2001). Shape matching and clustering in design. In: 13th International Conference on Engineering Design (ICED'01), 21-23 Aug 2001, Glasgow, pp. 163–170.

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Abstract

Generalising knowledge and matching patterns is a basic human trait in re-using past experiences. We often cluster (group) knowledge of similar attributes as a process of learning and or aid to manage the complexity and re-use of experiential knowledge [1, 2]. In conceptual design, an ill-defined shape may be recognised as more than one type. Resulting in shapes possibly being classified differently when different criteria are applied. This paper outlines the work being carried out to develop a new technique for shape clustering. It highlights the current methods for analysing shapes found in computer aided sketching systems, before a method is proposed that addresses shape clustering and pattern matching. Clustering for vague geometric models and multiple viewpoint support are explored.

Item Type: Conference or Workshop Item
Copyright Holders: 2001 The Authors
ISBN: 1-86058-356-3, 978-1-86058-356-8
Keywords: information classification; machine learning; taxonomies
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Physical Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Space
Item ID: 37888
Depositing User: Sungwoo Lim
Date Deposited: 23 Oct 2013 14:55
Last Modified: 09 Dec 2018 04:52
URI: http://oro.open.ac.uk/id/eprint/37888
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