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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

Perform Principal component analysis and perform clustering using first 3 principal component scores (both heirarchial and k mean clustering(scree plot or elbow curve) and obtain optimum number of clusters and check whether we have obtained same number of clusters with the original data (class column we have ignored at the begining who shows it …

  • Updated Jan 5, 2022
  • Jupyter Notebook

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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