Used a variety of classification systems, both supervised and unsupervised, such as Random Forest, K-Means Analysis, Support Vector Machine, and Self-Organizing Map, to analyze the Wisconsin Diagnostic Breast Cancer dataset. Data was collected using Fine Needle Aspirations to study cell nuclei within.
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