In the field of Artificial Intelligence, specifically in Machine Learning with Python, evaluating the performance of clustering algorithms in the absence of labeled data is a important task. Clustering algorithms are unsupervised learning techniques that aim to group similar data points together based on their inherent patterns and similarities. While the absence of labeled data