prikaz prve stranice dokumenta Dubinska analiza podataka tehnikom grupiranja
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undergraduate thesis
Dubinska analiza podataka tehnikom grupiranja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:376203
Kajtazi, Marin
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Kajtazi, M. (2015). Dubinska analiza podataka tehnikom grupiranja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:376203

Kajtazi, Marin. "Dubinska analiza podataka tehnikom grupiranja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:376203

Kajtazi, Marin. "Dubinska analiza podataka tehnikom grupiranja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:376203

Kajtazi, M. (2015). 'Dubinska analiza podataka tehnikom grupiranja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 01 September 2024, https://urn.nsk.hr/urn:nbn:hr:168:376203

Kajtazi M. Dubinska analiza podataka tehnikom grupiranja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 September 01] Available at: https://urn.nsk.hr/urn:nbn:hr:168:376203

M. Kajtazi, "Dubinska analiza podataka tehnikom grupiranja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:376203

Metadata
TitleDubinska analiza podataka tehnikom grupiranja
Title (english)Data mining analysis using clustering technique
AuthorMarin Kajtazi
MentorMarko Banek (mentor)
Committee memberMarko Banek (predsjednik povjerenstva)
Committee memberBoris Vrdoljak (član povjerenstva)
Committee memberMirko Randić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U završnom radu objašnjen je pojam dubinske analize podataka, grupiranja i osnovni pojmovi koje vezani za grupiranje poput funkcija udaljenosti. Navedene su i kategorije metode grupiranja. Za svaku vrste metode grupiranja je pojašnjen način na koji funkcionira. Isto tako su navedeni primjeri algoritama za različite vrste metoda. Prilikom izrade ovog rada naročita je pažnja posvećena algoritmu k-sredina, hijerarhijskoj metodi, te algoritmu DBSCAN. Upravo tim odabirom bolje objašnjenih algoritama približena je čitatelju raznolikost načina grupiranja. Također se može vidjeti i zaključiti kako za određene skupove podataka bolje odgovaraju određeni algoritmi. Pokazano je i korištenje aplikacije WEKA. Za taj smo primjer koristili algoritam k-sredina i uspješno prikazali grupiranje nad određenim skupom podataka.
Abstract (english)
In this bachelor thesis we describe the concept of data mining, clustering and basic concepts related to clustering as a function of distance. We list different clustering categories. For each clustering type we explain the way it works. We also list examples of algorithms for different types of methods. In this work, particular attention was paid to the k-means algorithm, hierarchical method, and DBSCAN algorithm. By choosing this particular selection of algorithms, we present the reader a variety of clustering possibilities. A conclusion can be made, that certain algorithms are better suited for certain sets of data. We also demonstrate the use of application WEKA. For this demonstration example, we used the k-means algorithm and successfully illustrated the clustering of a given set of data.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:376203
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 on2018-02-06 09:34:14