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undergraduate thesis
Analiza grupiranja podataka uporabom platforme ELKI
2020. urn:nbn:hr:168:851456
Križan, Mislav
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Križan, M. (2020). Analiza grupiranja podataka uporabom platforme ELKI (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:851456

Križan, Mislav. "Analiza grupiranja podataka uporabom platforme ELKI." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:851456

Križan, Mislav. "Analiza grupiranja podataka uporabom platforme ELKI." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:851456

Križan, M. (2020). 'Analiza grupiranja podataka uporabom platforme ELKI', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 02 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:851456

Križan M. Analiza grupiranja podataka uporabom platforme ELKI [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 May 02] Available at: https://urn.nsk.hr/urn:nbn:hr:168:851456

M. Križan, "Analiza grupiranja podataka uporabom platforme ELKI", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:851456

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Metadata
TitleAnaliza grupiranja podataka uporabom platforme ELKI
Title (english)Clustering Analysis Using ELKI Platform
AuthorMislav Križan
MentorAlan Jović (mentor)
Committee memberAlan Jović (predsjednik povjerenstva)
Committee memberNikolina Frid (član povjerenstva)
Committee memberIgor Stančin (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Analiza grupiranja podataka je tehnika nenadziranog učenja kojoj je cilj ustanoviti postojanje dviju ili više grupa u podatcima koji nemaju ciljnu kategoriju. Postoje razni algoritmi, tj. grupe algoritama koji služe za provedbu grupiranja. U ovom radu, pomoću platforme ELKI, analizirane su grupe algoritama zasnovane na centroidima, hijerarhiji i gustoći. Pokazan je način rada, prednosti i mane pojedinih algoritama, radi kvalitetne primjene algoritama u različitim slučajevima jer ne postoji jedan algoritam koji se može iskoristiti za svaki problem.
Abstract (english)
Clustering analysis is an unsupervised learning method, which goal is to establish two or more clusters in data which originally do not have a goal category. There are many algorithms or groups of algorithms which have been developed for clustering analysis. In this paper using ELKI platform, groups based on centroid, hierarchical distance and density have been analyzed. The way that algorithm operates, its advantages and disadvantages are shown here, for the sake of understanding when to use which algorithm for better quality analysis, because there is not one algorithm which can be used for any problem.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:851456
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 09:11:56