Planar arrangement of high-dimensional biomedical data sets by isomap coordinates

Authors:
Ik Soo Lim;Pablo de Heras Ciechomski;Sofiane Sarni;Daniel Thalmann
Affiliations:
Virtual Reality Lab, Swiss Federal Institute of Technology, Lausanne, Switzerland;Virtual Reality Lab, Swiss Federal Institute of Technology, Lausanne, Switzerland;Virtual Reality Lab, Swiss Federal Institute of Technology, Lausanne, Switzerland;Virtual Reality Lab, Swiss Federal Institute of Technology, Lausanne, Switzerland
Venue:
CBMS'03 Proceedings of the 16th IEEE conference on Computer-based medical systems
Year:
2003

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Abstract

This article addresses 2-dimensional layout of high-dimensional biomedical datasets, which is useful for browsing them efficiently. We employ the Isomap technique, which is based on classical MDS (multi-dimensional scaling) but seeks to preserve the intrinsic geometry of the data, as captured in the geodesic manifold distances between all pairs of data points while classical approaches can see just the Euclidean structure. According to first two of Isomap's coordinates, the high-dimensional data points are arranged in a plane. Experimental results with images of marine creatures' shapes and 3D bone renderings are presented.