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master's thesis
Modeli grupiranja i klasifikacije krivulja mikciometrije
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:412684
Renić, Josip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Renić, J. (2019). Modeli grupiranja i klasifikacije krivulja mikciometrije (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:412684

Renić, Josip. "Modeli grupiranja i klasifikacije krivulja mikciometrije." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:412684

Renić, Josip. "Modeli grupiranja i klasifikacije krivulja mikciometrije." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:412684

Renić, J. (2019). 'Modeli grupiranja i klasifikacije krivulja mikciometrije', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 01 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:412684

Renić J. Modeli grupiranja i klasifikacije krivulja mikciometrije [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 June 01] Available at: https://urn.nsk.hr/urn:nbn:hr:168:412684

J. Renić, "Modeli grupiranja i klasifikacije krivulja mikciometrije", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:412684

Metadata
TitleModeli grupiranja i klasifikacije krivulja mikciometrije
Title (english)Clustering and Classification Models of Uroflow Curves
AuthorJosip Renić
MentorAlan Jović (mentor)
Committee memberAlan Jović (predsjednik povjerenstva)
Committee memberMarin Golub (član povjerenstva)
Committee memberMarko Čupić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu promatrani su anonimizirani biološki vremenski nizovi krivulja mikciometrije snimanih kod djece. Provedena je dubinska analiza optimalnog broja grupa za dani skup podataka, analiza postupaka grupiranja i analiza klasifikacijskih postupaka s jasnim tumačenjem. Prikazan je opis razvijenog programa za izlučivanje značajki iz vremenskog niza mikciometrijske krivulje, također opisan je postupak izračuna značajki. Dobiven je optimalan broj od tri grupe, temeljen na internim mjerama kvalitete grupiranja. Naučeni su postupci klasifikacije s jasnim tumačenjem temeljeni na pravilima i stablom odluke. Cijeli postupak grupiranja i klasifikacije objedinjen je u web aplikaciji koja omogućuje učitavanje anonimiziranih zapisa vremenskih nizova mikciometrije te dobivanje odgovora o kategoriji obrasca krivulje, uz prikazani određeni postotak pouzdanosti kategorizacije.
Abstract (english)
In this paper anonymised biological time series of uroflow curves recorded in children were observed. A depth analysis of the optimum number of groups for a given data set, analysis of grouping procedures, and analysis of classification procedures with clear interpretation was performed. A description of the developed program for extracting features from the time series of the uroflow curve is also described, a feature calculation process is also described. An optimal number of three groups was obtained, based on internal grouping quality measures. The classification procedures with clear interpretation based on the rules and the decision tree have been learned. The entire grouping and classification process are combined into a web application that allows user to load anonymous uroflow curves and to obtain a response to the uroflow category, along with a certain percentage of categorization reliability.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:412684
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2020-01-07 21:49:37