CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id ecaade2014_149
authors Matthias Standfest
year 2014
title Unsupervised Symmetric Polygon Mesh Mapping - The Dualism of Mesh Representation and Its Implementation for Many Layered Self-Organizing Map Architectures
source Thompson, Emine Mine (ed.), Fusion - Proceedings of the 32nd eCAADe Conference - Volume 1, Department of Architecture and Built Environment, Faculty of Engineering and Environment, Newcastle upon Tyne, England, UK, 10-12 September 2014, pp. 505-513
wos WOS:000361384700050
summary With this paper we present a fully automated semantic shape similarity detection based on N-rings with further potential for shape synthesis in a topological correct feature space. Therefore a way of symmetric encoding of geometry, optimized for the use as feature-vector in self-organizing maps, is introduced. Furthermore we present a modified kernel for the detection of the best matching unit in self-organizing maps especially designed for a data topology differing from the default predecessor/successor structure. Finally we provide the results of a conducted experiment clustering building blocks of an area in Zürich, Switzerland.
keywords Unsupervised machine learning; geometry clustering; self-organizing map; mesh synthesis; probabilistic modelling
series eCAADe
full text file.pdf (539,963 bytes)
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