Скачать или смотреть Visualizing Clusters with Matplotlib

@genaiexp Visualization is a critical aspect of data analysis, enabling us to understand and interpret the clustering results effectively. Matplotlib, a popular Python library, provides tools for creating a variety of plots, including cluster visualizations. Start by importing Matplotlib: `import matplotlib.pyplot as plt`. To visualize clusters, plot your data points and use different colors to represent different clusters. This helps in distinguishing between various groups visually. You can customize your plot by adjusting the size, colors, and labels to make it more informative. Adding titles, axis labels, and legends enhances the clarity of the visualization. Consider using distinct markers or line styles for different clusters to improve readability. By interpreting visual data correctly, you can gain insights into the relationships between data points and validate the effectiveness of your clustering algorithm. Visualization not only aids in understanding clustering results but also communicates findings effectively, making it a powerful tool in data analysis.