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undergraduate thesis
Identifikacija ponavljajućih uzoraka kod mjerenja u testnim platformama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:316504
Čapek, Jan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Čapek, J. (2020). Identifikacija ponavljajućih uzoraka kod mjerenja u testnim platformama (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:316504

Čapek, Jan. "Identifikacija ponavljajućih uzoraka kod mjerenja u testnim platformama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:316504

Čapek, Jan. "Identifikacija ponavljajućih uzoraka kod mjerenja u testnim platformama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:316504

Čapek, J. (2020). 'Identifikacija ponavljajućih uzoraka kod mjerenja u testnim platformama', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 18 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:316504

Čapek J. Identifikacija ponavljajućih uzoraka kod mjerenja u testnim platformama [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 November 18] Available at: https://urn.nsk.hr/urn:nbn:hr:168:316504

J. Čapek, "Identifikacija ponavljajućih uzoraka kod mjerenja u testnim platformama", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:316504

Metadata
TitleIdentifikacija ponavljajućih uzoraka kod mjerenja u testnim platformama
Title (english)Identification of recurring patterns for test bed measurements
AuthorJan Čapek
MentorMarko Đurasević (mentor)
Committee memberMarko Đurasević (predsjednik povjerenstva)
Committee memberDomagoj Alagić (član povjerenstva)
Committee memberDino Šantl (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-09-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Mnogo informacija se može naći u uzorcima velikih setova podataka. Ovaj završni rad opisuje neke često korištene algoritme grupiranja podataka kao što su K-Means, DBSCAN i OPTICS koji se mogu koristiti za pronalazak grupa ili uzoraka. Nakon što su metode opisane, navesti će se rezultati nad testnim podatkovnim setom te će se odrediti koji je algoritam najbolji za grupiranje već navedenih testnih podataka.
Abstract (english)
A lot of information can be found by looking at the patterns in big data sets. This thesis describes some common clustering techniques like K-Means, DBSCAN and OPTICS which can be used to identify clusters or patterns. After the methods are described, the results on a sample data set will be shown and the conclusion will be drawn which method is the best for the data at hand.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:316504
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-14 08:38:04