A reconciliation between cosine similarity and Euclidean distance in individual decision-making problems
Author:
Funder
Indian Institute of Technology Delhi
Publisher
Springer Science and Business Media LLC
Subject
Economics, Econometrics and Finance (miscellaneous),Economics and Econometrics
Link
https://link.springer.com/content/pdf/10.1007/s41775-023-00206-8.pdf
Reference9 articles.
1. Ennis, D. M., Palen, J. J., & Mullen, K. (1988). A multidimensional stochastic theory of similarity. Journal of Mathematical Psychology, 32, 449–465.
2. Huber, J., Payne, T., & Puto, C. (1982). Adding asymmetrically dominated alternatives: Violations of regularity and the similarity hypothesis. Journal of Consumer Research, 9, 90–98.
3. Korenius, T., Laurikkala, J., & Juhola, M. (2007). On principal component analysis, cosine and Euclidean measures in information retrieval. Information Sciences, 177, 4893–4905.
4. Natenzon, P. (2019). Random choice and learning. Journal of Political Economy, 127(1).
5. Nehring, K., & Puppe, C. (2002). A theory of diversity. Econometrica, 70(3), 1155–1198.
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