Can Hierarchical Clustering Be Integrated with Other Analytical Methods?
Yes, hierarchical clustering can be integrated with other analytical methods to enhance its effectiveness. For example, it can be combined with Principal Component Analysis (PCA) to reduce the dimensionality of the data before clustering. Additionally, it can be used in conjunction with machine learning algorithms to validate the clusters and improve the robustness of the findings.
