Artificial Intelligence

    

Clustering Words by Graph based AHC Variants

Authors: Taeho Jo

In this research, we propose and apply the graph based AHC variants to the word clustering. The initial AHC version which clusters graphs was previous proposed as an approach to the word clustering. In this research, we mention the three AHC variants: one where the data clustering proceeds in the bottom-up direction with the similarity threshold, one where it allows any merge of more than two pairs, and one where clusters are merged based on the radius. In this research, we modify the three AHC variants into the graph- based versions, as well as the initial AHC version. As the goal of this research, we improve the clustering performance, by modifying them so.

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[v1] 2026-01-22 00:24:56

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