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May 2010 Heterogeneous Distance Measures and Nearest-Neighbor Classification in an Ecological Setting
Matthew S. Spencer, Samantha C. Bates Prins, Margaret S. Beckom
Missouri J. Math. Sci. 22(2): 108-123 (May 2010). DOI: 10.35834/mjms/1312233141

Abstract

Deriving a suitable heterogeneous distance measure that mixes continuous and categorical attributes is a difficult problem with a variety of applications. We developed the Scaled Heterogeneous Euclidean Overlap Metric (SHEOM) and we adapted the Interpolated Value Difference Metric (IVDM) from Wilson and Martinez [2, 3]. Our adaptation of the IVDM utilizes output classes given by a continuous response variable. We applied both distance measures in a nearest-neighbor classification for an ecological assessment. Both of the distance measures we applied were shown to be improvements on the simpler Heterogeneous Euclidean Overlap Metric when used in this ecological assessment setting.

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Matthew S. Spencer. Samantha C. Bates Prins. Margaret S. Beckom. "Heterogeneous Distance Measures and Nearest-Neighbor Classification in an Ecological Setting." Missouri J. Math. Sci. 22 (2) 108 - 123, May 2010. https://doi.org/10.35834/mjms/1312233141

Information

Published: May 2010
First available in Project Euclid: 1 August 2011

zbMATH: 05802220
Digital Object Identifier: 10.35834/mjms/1312233141

Subjects:
Primary: 62P12
Secondary: 62H30

Rights: Copyright © 2010 Central Missouri State University, Department of Mathematics and Computer Science

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Vol.22 • No. 2 • May 2010
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