TY - GEN
T1 - A DIAMOND method for classifying biological data
AU - Li, Han-Lin
AU - Huang, Yao Huei
AU - Chen, Ming Hsien
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Classification rules
KW - DIAMOND
KW - Integer Program
UR - http://www.scopus.com/inward/record.url?scp=77954629477&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-13923-9_11
DO - 10.1007/978-3-642-13923-9_11
M3 - Conference contribution
AN - SCOPUS:77954629477
SN - 3642139221
SN - 9783642139222
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 104
EP - 114
BT - Medical Biometrics - Second International Conference, ICMB 2010, Proceedings
T2 - 2nd International Conference on Medical Biometrics, ICMB 2010
Y2 - 28 June 2010 through 30 June 2010
ER -