A reconciliation between cosine similarity and Euclidean distance in individual decision-making problems

Saptarshi Mukherjee () and Ruhi Sonal ()
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Saptarshi Mukherjee: Indian Institute of Technology Delhi
Ruhi Sonal: Indraprastha Institute of Information Technology Delhi

Indian Economic Review, 2023, vol. 58, issue 2, No 8, 427-431

Abstract: Abstract Although both Euclidean distance and cosine similarity are widely used as measures of similarity, there is a lack of clarity as to which one is a better measure in applications such as machine learning exercises and in modeling consumer behavior. In this note we establish a reconciliation between these two approaches in an individual decision-making problem with a reference point.

Keywords: Choice; Cosine similarity; Euclidean distance (search for similar items in EconPapers)
JEL-codes: C6 D01 (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s41775-023-00206-8

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