Python provides several tools and libraries for cluster analysis. Some popular ones include:
scikit-learn: scikit-learn is a widely-used machine learning library in Python that offers various clustering algorithms, including K-means, hierarchical clustering, and DBSCAN.
scipy: The scipy library provides functions for scientific computing and includes hierarchical clustering algorithms and distance metrics.
pandas: pandas is a powerful data manipulation library that can be used for preprocessing and organizing data before applying clustering algorithms.
Matplotlib and Seaborn: These libraries offer a range of data visualization capabilities, enabling the creation of insightful plots and visualizations of clusters.