Basic Framework for Mathematical Modeling Problems: Breast Cancer Diagnosis Model with Clustering Analysis

This presents a fundamental mathematical modeling framework for cluster analysis problems, using breast cancer diagnosis as an illustrative case study. The workflow includes data standardization, stepwise regression for key factor identification, and clustering methods such as distance-based approaches and neural networks. Complete source code with detailed explanations is provided for each implementation step.