Unsupervised Clustering Algorithms

U ovom radu su analizirane neke od najpoznatijih metoda grupiranja. Objašnjen je način rada ovih algoritama, načini odabira parametara i evaluacije nastalih modela. U praktičnom dijelu rada napravljena je deskriptivna analiza i analiza grupiranja nad skupom podataka HELP International. Motivacija iza ove analize je bila pronaći države kojima je potrebna financijska pomoć. Razvijeno je nekoliko modela koji su evaluirani odgovarajućim metodama. Analiza je napravljena koristeći programski jezik Python i biblioteku Scikit-learn.In this thesis, some of the best known clustering algorithms were analysed. The way these algorithms work, the way their parameters are estimated and methods to evaluate models were explained. In the practical part of the thesis, a descriptive analysis and a clustering analysis was done using the HELP International dataset. The motivation behind this analysis was to find which countries need financial help the most. The analysis was done using programming language Python and the Scikit-learn library