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A simple and efficient kNN variant with embedded feature selection

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A simple and efficient kNN variant with embedded feature selection

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Moreno-Ribera, A.; Calviño, A. (2023). A simple and efficient kNN variant with embedded feature selection. Editorial Universitat Politècnica de València. 237-238. http://hdl.handle.net/10251/201791

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Title: A simple and efficient kNN variant with embedded feature selection
Author: Moreno-Ribera, Almudena Calviño, Aida
Issued date:
Abstract:
[EN] Predictive modeling aims at providing estimates of an unknown variable, the target, from a set of known ones, the input. The k Nearest Neighbors (kNN) is one of the best-known predictive algorithms due to its simplicity ...[+]
Subjects: Gower distance , Weighting scheme , Ordinal variables , Machine Learning , Predictive modeling , Regression
Copyrigths: Reconocimiento - No comercial - Compartir igual (by-nc-sa)
ISBN: 9788413960869
Source:
5th International Conference on Advanced Research Methods and Analytics (CARMA 2023).
Publisher:
Editorial Universitat Politècnica de València
Publisher version: http://ocs.editorial.upv.es/index.php/CARMA/CARMA2023/paper/view/16418
Conference name: CARMA 2023 - 5th International Conference on Advanced Research Methods and Analytics
Conference place: Sevilla, España
Conference date: Junio 28-30, 2023
Project ID:
info:eu-repo/grantAgreement/EC/Investigo/CT36%2F22-04-UCM-INV
Thanks:
NextGenerationEU Funds, Programa Investigo, CT36/22-04-UCM-INV
Type: Capítulo de libro Comunicación en congreso

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