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Journal article
Breast cancer detection using rank nearest neighbor classification rules
Pattern recognition, Vol.36(1), pp.25-34
2003
Web of Science ID: WOS:000179101000003
Abstract
In this article, we propose a new generalization of the rank nearest neighbor (RNN) rule for multivariate data for diagnosis of breast cancer. We study the performance of this rule using two well known databases and compare the results with the conventional
k-NN rule. We observe that this rule performed remarkably well, and the computational complexity of the proposed
k-RNN is much less than the conventional
k-NN rule.
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Details
- Title
- Breast cancer detection using rank nearest neighbor classification rules
- Publication Details
- Pattern recognition, Vol.36(1), pp.25-34
- Resource Type
- Journal article
- Publisher
- Elsevier Ltd
- Copyright
- © 2002 Pattern Recognition Society. Published by Elsevier B.V. All rights reserved.
- Identifiers
- WOS:000179101000003; 99380178994006600
- Academic Unit
- Hal Marcus College of Science and Engineering ; Computer Science; Mathematics and Statistics
- Language
- English