Clustering Algorithm Comparison in Python | K-Means vs Hierarchical vs DBSCAN

This project compares three popular clustering algorithms — K-Means, Agglomerative (Hierarchical), and DBSCAN — using synthetic datasets.

Using Scikit-Learn and Matplotlib, I generated both blob-shaped and non-linear circular datasets to observe how each algorithm performs under different data distributions.

Key highlights:
• Visual comparison of clustering behavior
• Demonstrates strengths and weaknesses of each method
• Shows why DBSCAN excels on non-linear data
• Includes feature scaling with StandardScaler
#python
#machinelearning
#datascience
#clustering
#kmeans
#dbscan
#hierarchicalclustering
#unsupervisedlearning
#scikitlearn
#datavisualization
#mlproject
#pythonfordatascience

Видео Clustering Algorithm Comparison in Python | K-Means vs Hierarchical vs DBSCAN канала Vikash Udarsha