A DIAMOND method for classifying biological data

Authors:
Han-Lin Li;Yao-Huei Huang;Ming-Hsien Chen
Affiliations:
Institute of Information Management, National Chiao Tung University, Hsinchu, Taiwan;Institute of Information Management, National Chiao Tung University, Hsinchu, Taiwan;Department of Information Management, Tatung University, Taipei, Taiwan
Venue:
ICMB'10 Proceedings of the Second international conference on Medical Biometrics
Year:
2010

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Abstract

This study proposes an effective method called DIAMOND to classify biological and medical data. Given a set of objects with some classes, DIAMOND separates the objects into different cubes, where each cube is assigned to a class. Via the union of these cubes, we utilize mixed integer programs to induce classification rules with better rates of accuracy, support and compactness. Two practical data sets, one of HSV patient results and the other of Iris flower, are tested to illustrate the advantages of DIAMOND over some current methods.