Results
eNauka >
Results >
Unsupervised Modelling of E-Customers' Profiles: Multiple Correspondence Analysis with Hierarchical Clustering of Principal Components and Machine Learning Classifiers
| Title: | Unsupervised Modelling of E-Customers' Profiles: Multiple Correspondence Analysis with Hierarchical Clustering of Principal Components and Machine Learning Classifiers | Authors: | Vrhovac, Vijoleta V   ; Orosnjak, Marko D ; Ristic, Kristina ; Sremcev, Nemanja ; Jocanovic, Mitar ; Spajic, Jelena ; Brkljac, Nebojsa R |
Issue Date: | 2024 | Publication: | MATHEMATICS (This article belongs to the Special Issue Computational and Mathematical Methods in Information Science and Engineering, 2nd Edition) | ISSN: | 2227-7390 Mathematics Search Idenfier |
Type: | Article | Collation: | vol. 12 br. 23 str. 3794-3794 | DOI: | 10.3390/math12233794 | WoS-ID: | 001377197600001 | Scopus-ID: | 2-s2.0-85211779645 | URI: | https://enauka.gov.rs/handle/123456789/956002 | Project: | Ministry of Science, Technological Development and Innovation Faculty of Technical Sciences, University of Novi Sad through project "Scientific and Artistic Research Work of Researchers [01-3394/1] [451-03-65/2024-03/200156] |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 21a+M21a+ |
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.