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hierarchical-clustering

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This repository includes the data analysis of the dataset 'Early Childhood Caries'. This analysis includes several preprocessing steps, association rule mining, 5 different classification and 3 different clustering models.

  • Updated Sep 8, 2018

This repo explores KMeans and Agglomerative Clustering effectiveness in simplifying large datasets for ML. Goals include dataset download, finding optimal clusters via Elbow and Silhouette methods, comparing clustering techniques, validating optimal clusters, tuning hyperparameters. Detailed explanations and analysis are provided.

  • Updated May 28, 2023
  • Jupyter Notebook

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