: Vocabulario de PLN: hierarchical clustering

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hierarchical clustering

Although hierarchical clustering is quadratic we can efficiently exploit the agglomerative process as the most similar terms will merge into clusters first. (McIntosh, 2010)
Hierarchical clustering begins with every topic forming a singleton cluster then iteratively merges the two most similar clusters at every step until there is only one cluster of all topics remaining. (Anderson, Jurafsky & McFarland, 2012)
Such classification is implemented by applying hierarchical clustering on a semantic network of commonsense knowledge. (Cambria, Poria, Bajpai & Schuller, 2016)
The authors found that the performance of hierarchical clustering combined with iterative classification outperforms other settings. (Kamthawee, Udomcharoenchaikit & Nutanong, 2024)

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