@inbook{3443d19460614e1aad47761afa5ee56f,
title = "Feasibility of Automated Clustering in Personalized Applications Based on the Data Characteristics",
abstract = "The paper explores the effectiveness of automated clustering in personalized applications based on data characteristics. It evaluates three clustering algorithms with various cluster numbers and subsets of characteristics. The study compares the accuracy of models in different clusters against original results and examines the algorithmic approaches and characteristic selections for optimal clustering performance. The research concludes that the proposed method aids in selecting appropriate clustering strategies and relevant characteristics for datasets. These insights may also guide further research on coaching approaches within applications.",
keywords = "clustering, data characteristics, machine learning, personalization, accuracy, machinaal leren, accuraatheid, bundelen, gegevenskarakteristieken, personalisatie",
author = "Rietdijk, {Harald H.} and Patricia Conde-Cespedes and Dijkhuis, {Talko B.} and Groenboom, {Rix M.} and Oldenhuis, {Hilbrand K.E.} and Maria Trocan",
year = "2025",
month = jun,
day = "30",
doi = "10.1109/BioSMART66413.2025.11046143",
language = "English",
isbn = "978-1-6654-7812-0",
series = "Proceedings - 6th International Conference on Bio-Engineering for Smart Technologies, BioSMART 2025",
pages = "1--4",
booktitle = "Proceedings - 6th International Conference on Bio-Engineering for Smart Technologies, BioSMART 2025",
publisher = "Institute of Electrical and Electronics Engineers",
address = "United States",
}