Hierarchical Clustering — A Dendrogram Instead of a Number

1. 1Import the necessary libraries, including scipy and matplotlib, to perform hierarchical clustering
2. 2Load your dataset and preprocess it if necessary
3. 3Apply hierarchical clustering using the linkage function from scipy
4. 4Visualize the dendrogram using matplotlib to understand the clustering structure
5. 5Use the dendrogram to determine the optimal number of clusters or to identify interesting patterns in the data

Data scientists and analysts can benefit from this technique to identify patterns in their data, while software engineers can use it to improve their data-driven applications

💡 Hierarchical clustering can be used to visualize the clustering process using a dendrogram, which can help identify patterns and relationships in the data

📊 Use hierarchical clustering to group similar data points without specifying the number of clusters! 📈