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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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/parissashahabi%2FBehavioral-Data-Clustering-and-Gender-Correlation-Analysis

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 1.92 MB
Dependencies parsed at: Pending

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

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