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Analisis Performa Normalisasi Data untuk Klasifikasi K-Nearest Neighbor pada Dataset Penyakit

This study investigates four normalization methods (Min-Max, Z-Score, Decimal Scaling, MaxAbs) across prostate, kidney, and heart disease datasets for K-Nearest Neighbor (K-NN) classification. Imbalanced feature scales can hinder K-NN performance, making normalization crucial. Results show that Dec...

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Glavni autori: Petronilia Palinggik Allorerung, Angdy Erna, Muhammad Bagussahrir, Samsu Alam
Format: Artigo
Jezik:Inglês
Izdano: Universitas Islam Negeri Sunan Kalijaga Yogyakarta 2024-09-01
Serija:JISKA (Jurnal Informatika Sunan Kalijaga)
Teme:
Data Normalization
Disease
Min-Max
Z-Score
Decimal Scaling
MaxAbs
Online pristup:https://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/4435
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