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Vijoleta Vrhovac on Muck Rack

Vijoleta Vrhovac

As seen in: MDPI
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Articles

Unsupervised Modelling of E-Customers’ Profiles: Multiple Correspondence Analysis with Hierarchical Clustering of Principal Components and Machine Learning Classifiers

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By Vijoleta Vrhovac, Marko Orošnjak, Kristina Ristić, Mitar Jocanović
| MDPI
1. Introduction E-commerce is developing faster than ever, with an increase in the number of transactions [1,2]. This global trend allows retailers to expand their reach with as many customers as possible [3]. Additionally, the COVID-19 pandemic has further accelerated consumer habits, with many consumers switching to online shopping [4,5], posing new challenges for e-tailers [6,7,8].
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Unsupervised Modeling of E-Customers’ Profiles: Multiple Correspondence Analysis with Hierarchical Clustering of Principal Components and Machine Learning Classifiers

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By Vijoleta Vrhovac, Marko Orošnjak, Kristina Ristić, Nemanja Sremcev
| preprints.org
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 4 November 2024 / Approved: 5 November 2024 / Online: 6 November 2024 (12:23:35 CET) Vrhovac, V.; Orošnjak, M.; Ristić, K.; Sremcev, N.; Jocanović, M.; Spajić, J.; Brkljač, N. Unsupervised Modeling of E-Customers’ Profiles: Multiple Correspondence Analysis with Hierarchical Clustering of Principal Components and Machine Learning Classifiers. Preprints 2024, 2024110363.
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Predictors of Successful Maintenance Practices in Companies Using Fluid Power Systems: A Model-Agnostic Interpretation

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By Marko Orošnjak, Ivan Beker, Vijoleta Vrhovac
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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