Artificial Intelligence

    

Word Categorization with KNN Variants Considering Feature Similarity and Feature Value Similarity

Authors: Taeho Jo

In this research, we propose the three KNN variants which considers the feature similarity, as the approaches to the word categorization. The initial version of the KNN algorithm which does so was previously proposed as the tool of the task. We mention the three KNN variants: one which discriminates its selected nearest neighbors by their distances, another which does attributes by their correlations with the target outputs, and the other which does the training examples by their credits. The feature similarity is applied to the three KNN variants as well as the initial version. The classification performance is improved by applying the feature similarity to the KNN variants as the improved KNN versions.

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Submission history

[v1] 2026-01-12 00:39:19

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