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master's thesis
k-sredine i primjene
Zagreb: University of Zagreb, Faculty of Science, 2014. urn:nbn:hr:217:406902
Babić, Ivana
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

Cite this document

Babić, I. (2014). k-sredine i primjene (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:406902

Babić, Ivana. "k-sredine i primjene." Master's thesis, University of Zagreb, Faculty of Science, 2014. https://urn.nsk.hr/urn:nbn:hr:217:406902

Babić, Ivana. "k-sredine i primjene." Master's thesis, University of Zagreb, Faculty of Science, 2014. https://urn.nsk.hr/urn:nbn:hr:217:406902

Babić, I. (2014). 'k-sredine i primjene', Master's thesis, University of Zagreb, Faculty of Science, accessed 30 November 2024, https://urn.nsk.hr/urn:nbn:hr:217:406902

Babić I. k-sredine i primjene [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2014 [cited 2024 November 30] Available at: https://urn.nsk.hr/urn:nbn:hr:217:406902

I. Babić, "k-sredine i primjene", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:217:406902

Metadata
Titlek-sredine i primjene
AuthorIvana Babić
MentorZlatko Drmač (mentor)
Committee memberZlatko Drmač (predsjednik povjerenstva)
Committee memberTina Bosner (član povjerenstva)
Committee memberVjeran Hari (član povjerenstva)
Committee memberZoran Vondraček (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2014-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
U ovom radu predstavljene su metode klasteriranja. Opisan je osnovni algoriram k-sredina. Dodatno, algoritmi temeljeni na njemu, koji za cilj imaju prevladavanje problema povezanih s algoritmom k-sredinama, su opisani. Postupak klasteriranja implementiran je u programskom okruzenju Matlab, a testiran je na slučajnoj raspodjeli točaka u prostoru te na slikama u boji i nijansama sive boje.
Abstract (english)
In this work clustering methods are presented. Basic algorithm of k-means is described. Additionally, different algorithms based on k-means algorithm, which are aimed to overcome problems associated with k-means, are described. Clustering procedure is implemented in Matlab programing environment and tested for random distribution of points in space and also for colored and gray scale images.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:406902
Study programmeTitle: Applied Mathematics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2017-05-05 12:35:25