Do all roads lead to Rome? Studying distance measures in the context of machine learning

Author:

Blanco-Mallo EvaORCID,Morán-Fernández Laura,Remeseiro Beatriz,Bolón-Canedo Verónica

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference71 articles.

1. Encyclopedia of distances;Deza,2009

2. On integral probability metrics, ∖phi-divergences and binary classification;Sriperumbudur;arXiv preprint arXiv:0901.2698,2009

3. A new typology design of performance metrics to measure errors in machine learning regression algorithms;Botchkarev;Interdisciplinary Journal of Information, Knowledge, and Management,2019

4. A comparison study on similarity and dissimilarity measures in clustering continuous data;Shirkhorshidi;PloS One,2015

5. Effect of distance functions on k-means clustering algorithm;Loohach;International Journal of Computer Applications,2012

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