Kombinasi Feature Selection Fisher Score dan Principal Component Analysis (PCA) untuk Klasifikasi Cervix Dysplasia
نویسندگان
چکیده
منابع مشابه
Generalized Fisher Score for Feature Selection
Fisher score is one of the most widely used supervised feature selection methods. However, it selects each feature independently according to their scores under the Fisher criterion, which leads to a suboptimal subset of features. In this paper, we present a generalized Fisher score to jointly select features. It aims at finding an subset of features, which maximize the lower bound of tradition...
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ژورنال
عنوان ژورنال: Jurnal Teknologi Informasi dan Ilmu Komputer
سال: 2020
ISSN: 2528-6579,2355-7699
DOI: 10.25126/jtiik.2020702987