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undergraduate thesis
Primjena klaster analize na otvorenim podacima
2022. urn:nbn:hr:211:936079
Blažek, Luka
University of Zagreb
Faculty of Organization and Informatics
Department of Information Systems Development

Cite this document

Blažek, L. (2022). Primjena klaster analize na otvorenim podacima (Undergraduate thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:936079

Blažek, Luka. "Primjena klaster analize na otvorenim podacima." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2022. https://urn.nsk.hr/urn:nbn:hr:211:936079

Blažek, Luka. "Primjena klaster analize na otvorenim podacima." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2022. https://urn.nsk.hr/urn:nbn:hr:211:936079

Blažek, L. (2022). 'Primjena klaster analize na otvorenim podacima', Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 11 April 2024, https://urn.nsk.hr/urn:nbn:hr:211:936079

Blažek L. Primjena klaster analize na otvorenim podacima [Undergraduate thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2022 [cited 2024 April 11] Available at: https://urn.nsk.hr/urn:nbn:hr:211:936079

L. Blažek, "Primjena klaster analize na otvorenim podacima", Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:211:936079

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Metadata
TitlePrimjena klaster analize na otvorenim podacima
Title (english)Application of cluster analysis on open data
AuthorLuka Blažek
MentorDijana Oreški (mentor)
MBZ: 318615
Committee memberIrena Konecki (član povjerenstva)
MBZ: 318626
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Information Systems Development)
Varaždin
Defense date and country2022-09-28, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
Cilj završnog rada bio je provesti klaster analizu na podacima koji se odnose na automobilsku industriju te je na kraju rada odabran najoptimalniji broj klastera k=6. Pomoću klaster analize pronađene su sličnosti i razlike između različitih klastera. Primjena klaster analize je jednostavna i ima mogućnost vizualizacije. U izradi rada koristili su se alati BigML i Microsoft Excel.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:936079
Study programmeTitle: Economics of Entrepreneurship
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) ekonomije (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) ekonomije)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) icon
Created on2022-10-03 04:06:36