LEAST SQUARES SUPPORT VECTOR MACHINES PARAMETER OPTIMIZATION BASED ON IMPROVED ANT COLONY ALGORITHM FOR HEPATITIS DIAGNOSIS

LEAST SQUARES SUPPORT VECTOR MACHINES PARAMETER OPTIMIZATION BASED ON IMPROVED ANT COLONY ALGORITHM FOR HEPATITIS DIAGNOSIS

Many kinds of classification method are able to diagnose a patient who suffered Hepatitis disease. One of classification methods that can be used was Least Squares Support Vector Machines (LSSVM). There are two parameters that very influence to improve the classification accuracy on LSSVM, they are...

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Bibliographic Details
Main Authors: Nursuci Putri Husain, Nursanti Novi Arisa, Putri Nur Rahayu, Agus Zainal Arifin, Darlis Herumurti
Format: Article
Language:English
Published: Universitas Indonesia 2017-02-01
Series:Jurnal Ilmu Komputer dan Informasi
Subjects:
Classification, Least Squares Support Vector Machines, Improved Ant Colony Algorithm, Local Fisher Discriminant Analysis, Hepatitis Disease
Online Access:http://jiki.cs.ui.ac.id/index.php/jiki/article/view/428

Internet

http://jiki.cs.ui.ac.id/index.php/jiki/article/view/428

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