Smart Grid Optimization
Hierarchical clustering is a method of cluster analysis that seeks to build a hierarchy of clusters by either merging smaller clusters into larger ones (agglomerative) or by dividing larger clusters into smaller ones (divisive). This technique is particularly useful for understanding data structures and relationships in complex datasets, making it a valuable tool in machine learning and artificial intelligence applications, especially within power systems.
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