Topological Machine Learning: Integrating Topological Data Analysis with Machine Learning to Enhance Breast Cancer Classification

Novel TML Approach: Introduces Topological Machine Learning (TML), integrating Topological Data Analysis (TDA) with Machine Learning (ML) to enhance breast cancer classification.

Improved Accuracy: Demonstrates that TML significantly improves classification accuracy on the Wisconsin Breast Cancer (WBCD) dataset compared to traditional methods and standalone ML techniques.

Feature Evaluation: Provides a detailed assessment of topological features such as cluster means, node features, and link features, highlighting their impact on model performance.

Practical Insights: Offers valuable insights into the integration of topological features for better diagnostic accuracy, with implications for improving breast cancer classification and patient outcomes.