Klasifikacija metodom K-srednjih vrijednosti kod predviđanja navika kupaca

undergraduate thesis

• Title (english): Classification by K-means method for customer habit predictions
• Author: Veronika Bubnjar
• Mentor: Tomislav Stipančić (mentor)
• Committee member: Branko Bauer (predsjednik povjerenstva)
• Granter: University of Zagreb; Faculty of Mechanical Engineering and Naval Architecture; Zagreb
• Defense date and country: 2022-09-28, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing; Artificial Intelligence

Abstract

U završnom radu napravljen je i dokumentiran računalni model koristeći metodu K-srednjih
vrijednosti strojnog učenja. Računalni model je napravljen u cilju predviđanja navika kupaca u
trgovačkom centru. Temeljen je na zadanoj bazi podataka s određenim karakteristikama kao što
su rod, dob, godišnja primanja i navika potrošnje od kojih je potrebno neke uzeti u obzir za
određivanje broja grupa, tj. grupiranja. Uz odabir odgovarajućih varijabla dobiven je optimalan
broj grupa odnosno klastera. Svi rezultati su određeni odgovarajućom standardnom metodom,
metodom koljena. Koristeći tehnike vizualizacije, rezultati su prikazani i objašnjeni.

Abstract (english)

In the final paper, a computer model was created and documented using the K-means method
of machine learning. A computer model was created to classify the habits of customers in a
shopping center by K-means method. It is based on a given database with certain characteristics
such as gender, age, annual income, and spending score, some of which need to be taken into
algorithm to determine the number of clusters, i.e., clustering. With the selection of appropriate
variables, the optimal number of clusters was obtained. All results were determined by the
appropriate standard method, the elbow method. The results are presented and explained using
visualization techniques.

• Keywords: Strojno učenje; K-srednje vrijednosti; grupiranje; grupe(klasteri); metoda koljena
• Keywords (english): Machine learning; K-means method; clustering; clusters; elbow method
• Language: croatian
• URN:NBN: urn:nbn:hr:235:823516
• Study programme: Title: Mechanical Engineering; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2022-09-23 08:46:21