Classification and clustering

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dc.authorscopusidWadhah Zeyad Tareq Tareq / 56543609600
dc.authorscopusidMuhammed Davud / 59309819500
dc.authorwosidWadhah Zeyad Tareq Tareq / GLS-2101-2022
dc.authorwosidMuhammed Davud / ABG-3241-2020
dc.contributor.authorTareq, Wadhah Zeyad Tareq
dc.contributor.authorDavud, Muhammed
dc.date.accessioned2025-04-18T08:27:04Z
dc.date.available2025-04-18T08:27:04Z
dc.date.issued2024
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractData analysis is the process of understanding or extracting patterns from raw data. One of the widely used methods in data analysis is machine learning. Machine learning is a system or model that can learn from raw data to make decisions without human intervention. Classification and clustering are the most popular machine learning technologies for the analysis of data. Each technology involves many algorithms that aim to categorize objects into classes depending on the object's features. In this chapter, we introduce a guide to both classification and clustering technology by applying different algorithms to different datasets. The classification dataset differs from the clustering dataset. The reason here is to explain the suitable type of data for each technology. For clustering, the k-means clustering algorithm is applied. For classification, the decision tree algorithm is applied. The results showed the efficiency of different machine learning algorithms for data analysis and decision-making. © 2024 Elsevier Inc. All rights reserved.
dc.identifier.citationTareq, W. Z. T., & Davud, M. (2024). Classification and clustering. In Decision-Making Models (pp. 351-359). Academic Press.
dc.identifier.doi10.1016/B978-0-443-16147-6.00024-4
dc.identifier.endpage359
dc.identifier.isbn978-044316147-6, 978-044316148-3
dc.identifier.scopus2-s2.0-85202904420
dc.identifier.scopusqualityN/A
dc.identifier.startpage351
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6567
dc.indekslendigikaynakScopus
dc.institutionauthorTareq, Wadhah Zeyad Tareq
dc.institutionauthorDavud, Muhammed
dc.institutionauthoridWadhah Zeyad Tareq Tareq / 0000-0003-4571-0295
dc.institutionauthoridMuhammed Davud / 0000-0002-6864-2339
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofDecision-Making Models: A Perspective of Fuzzy Logic and Machine Learning
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.titleClassification and clustering
dc.typeBook Chapter

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