3 papers
cs.LG2026
An unsupervised clustering analysis of breast cancer data derived from electronic health records enhanced through UMAP dimensionality reduction
Davide Chicco, Nicoletta Benvenuto
Breast cancer is one of the most widespread types of cancer, affecting approximately 8 million women worldwide. Electronic health records of patients diagnosed with this disease ca…
cs.LG2025
Comparative analysis of unsupervised clustering techniques using validation metrics: Study on cognitive features from the Canadian Longitudinal Study on Aging (CLSA)
ChenNingZhi Sheng
Purpose: The primary goal of this study is to explore the application of evaluation metrics to different clustering algorithms using the data provided from the Canadian Longitudina…
cs.LG2024
Interactive Classification Metrics: A graphical application to build robust intuition for classification model evaluation
David H. Brown, Davide Chicco
Machine learning continues to grow in popularity in academia, in industry, and is increasingly used in other fields. However, most of the common metrics used to evaluate even simpl…