Article

Unsupervised and Supervised Approaches for Breast Cancer Subtype Classification: Hierarchical Clustering and Machine Learning with Hyperparameter Optimization

2025-11-18

Abstract excerpt

<title>Abstract</title> <p>Breast cancer is considered a public health problem and a disease of concern, which contains distinct subtypes, making accurate classification critical for personalized treatment. This study proposes a hybrid approach by applying supervised and unsupervised learning techniques for breast cancer subtype classification using gene expression data from The Cancer Genome Atlas (TCGA). First,...

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Literature Corpus work: 8de305fc-cd18-57c6-88b4-e3123c505122
DOI: 10.21203/rs.3.rs-6779819/v1

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