K-Modes with Binary Logistic Regression: An Application in Marketing Research

Rebolledo, Jonathan; Rodríguez Aguilar, Román

doi:10.1007/978-3-031-50158-6_6

K-Modes with Binary Logistic Regression: An Application in Marketing Research

Journal

Intelligent Computing and Optimization

Lecture Notes in Networks and Systems

ISSN

2367-3370

2367-3389

Publisher

Springer

Date Issued

2023

Author(s)

Rebolledo, Jonathan

Rodríguez Aguilar, Román

Facultad de Ciencias Económicas y Empresariales - CampCM

Type

text::book::book part

DOI

10.1007/978-3-031-50158-6_6

URL

https://scripta.up.edu.mx/handle/20.500.12552/11402

Abstract

Binary logistic regression is a statistical method used to analyze data with binary outcome variables. It is a type of generalized linear model (GLM) and is often used in fields such as medicine, psychology, and sociology. Using this model with some degree of data noise might give wrong results. ©2023 Springer, The authors.

License

Acceso Restringido

How to cite

Rebolledo, J., Rodriguez-Aguilar, R. (2023). K-Modes with Binary Logistic Regression: An Application in Marketing Research. In: Vasant, P., et al. Intelligent Computing and Optimization. ICO 2023. Lecture Notes in Networks and Systems, vol 855. Springer, Cham. https://doi.org/10.1007/978-3-031-50158-6_6