While cluster analysis offers numerous benefits, it also comes with certain challenges:
High Dimensionality: Managing and analyzing high-dimensional data can be complex and resource-intensive. Choosing the Right Algorithm: Selecting the most suitable clustering algorithm can be challenging, as different algorithms have their own strengths and weaknesses. Scalability: Handling large datasets efficiently requires scalable solutions and adequate computational power. Interpretability: Making sense of the clusters and translating them into actionable insights can be difficult.