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Intelligent Engineering Systems through Artificial Neural Networks

Editor
Cihan H. Dagli
Cihan H. Dagli
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K. Mark Bryden
K. Mark Bryden
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Steven M. Corns
Steven M. Corns
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Mitsuo Gen
Mitsuo Gen
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Kagan Tumer
Kagan Tumer
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Gürsel Süer
Gürsel Süer
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ISBN:
9780791802953
No. of Pages:
636
Publisher:
ASME Press
Publication date:
2009

Neighbor joining algorithms are a type of hierarchical clustering algorithm commonly used to construct “family trees” that form a visualization of how data are related to one another. This type of algorithm is fast but known not to be robust to the addition or deletion of single data points. This study uses an evolutionary algorithm to find sets of data for which the algorithm is maximally and minimally stable. A new distance measure between trees is introduced and used to design a fitness function that measures the stability of a neighbor joining algorithm on a data set. This yields a...

Abstract
1 Introduction
2 The Tree Metric
3 Experimental Design
4 Results and Discussion
5 Conclusions and Future Directions
Acknowledgments
References
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