Autoencoders for Clinical Data Analysis: Application of Neural Network-Based Dimensionality Reduction on Fine-Needle Aspiration Breast Data
Selçuk TEKGÖZ & Derviş TOPUZ · Asian Journal of Research in Computer Science · 2025
Objective: Machine learning provides powerful tools for analyzing large datasets; however, it faces challenges such as high computational costs and overfitting. To overcome these issues techniques that reduce the dimensionality of data are frequently used. Dimensionality reductio...
Open access
Research Article
10.9734/ajrcos/2025/v18i12797