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Evaluation of Breast Cancer Tumor Classification with Unconstrained Functional Networks Classifier

By Kanaan A Faisal


This paper proposes functional networks as an unconstrained classifier scheme for multivariate data to diagnose the breast cancer tumor. The performance of this new technique is measured using two well known databases under the minimum description length criterion, the results are compared with the most common existing classi- fiers in both computer science and statistics literatures. This new classifier shown reliable and efficient results with better correct classification rate, and much less computational time

Topics: Computer
Year: 2006
OAI identifier:
Provided by: KFUPM ePrints

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