GitHub / parissashahabi / Behavioral-Data-Clustering-and-Gender-Correlation-Analysis
Clustered behavioral data into two groups, regardless of gender, and evaluated cluster consistency with gender division using silhouette and Davies-Bouldin scores. Additionally, identified the optimal cluster count using the elbow method and re-evaluated clustering efficacy.
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Language: Jupyter Notebook
Size: 1.92 MB
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Created at: about 2 years ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Topics: clustering, davies-bouldin-score, elbow-method, k-means-clustering, machine-learning, silhouette-score