Breast Cancer Detection Using Rank Nearest Neighbor Classification Rules.
Prof. Subhash C. Bagui
Department of Mathematics and Statistics
The University of West Florida
In this article, we propose a new generalization of the rank nearest neighbor (RNN) classification 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 classification rule. We observe that this rule performed remarkably well, and the computational complexity of the proposed k-RNN rule is much less than the conventional k-NN rule.