🧠 Hierarchical Clustering

Welcome to this repository!
This project contains learning materials focused on Unsupervised Learning methods—specifically Hierarchical Clustering techniques like Agglomerative Clustering—along with practical examples of data preprocessing and visualization.

📚 Contents

• Concept explanation: How hierarchical clustering groups data points
• Understanding linkage criteria (ward, complete, average, etc.)
• Building a dendrogram to visualize the hierarchy of clusters
• Choosing the optimal number of clusters from the dendrogram
• Practical implementation using scikit-learn and SciPy