An improvement in support vector machine classification model using grey relational analysis for cancer diagnosis

• Main Authors: Sallehuddin, R., Ahmad Ubaidillah, Sharifah Hafizah Sy., Zain, A. M., Alwee, R., Radzi, N. H. M.
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2016
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/71206/1/RoselinaSallehuddin2016_Animprovementinsupportvector.pdf; http://eprints.utm.my/id/eprint/71206/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988384738&doi=10.11113%2fjt.v78.9548&partnerID=40&md5=43bfb08fc623c9f663b8bf09a29613ee

To further improve the accuracy of classifier for cancer diagnosis, a hybrid model called GRA-SVM which comprises Support Vector Machine classifier and filter feature selection Grey Relational Analysis is proposed and tested against Wisconsin Breast Cancer Dataset (WBCD) and BUPA Disorder Dataset. T...