Hierarchical Clustering Taxonomy: Structure, Algorithms, and the Gaps That Shape Modern Data Mining

Key Points

• This research aims to clarify the taxonomy of hierarchical clustering and its algorithms within data mining.
• Reviewed existing literature on hierarchical clustering methods.
• Analyzed the structure and organization of algorithms.
• Identified gaps in current data mining practices.
• Outlined various hierarchical clustering techniques and their applications.
• Demonstrated the importance of structural understanding in developing effective algorithms.
• Highlighted significant gaps that hinder progress in modern data mining.