Statističke metode grupiranja u analizi podataka

Uremović, Kristina (2016) Statističke metode grupiranja u analizi podataka. Diploma thesis, Faculty of Science > Department of Mathematics.

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Abstract

Through this dissertation, we have shown how one can use cluster analysis methods in medicine. We met the basic concepts of cluster analysis: definition, clustering methods and measures for forming clusters. In addition we explained the method by which we process the given data. Cluster analysis includes the classification and identification of structures. It looks for optimal structure of the given data and then forms clusters based on the information about the data. The goal is to find the optimal grouping criteria in which the observations within each cluster are similar, a different clusters differ from each other. We analyzed data on examinations in a certain hospital. By applying cluster analysis, we identified different clusters which relate different types of examination with characteristics of patients, such as sex.

Item Type: Thesis (Diploma thesis)
Supervisor: Slijepčević, Siniša
Date: 2016
Number of Pages: 67
Subjects: NATURAL SCIENCES > Mathematics
Divisions: Faculty of Science > Department of Mathematics
Depositing User: Iva Prah
Date Deposited: 17 Nov 2016 11:52
Last Modified: 17 Nov 2016 11:52
URI: http://digre.pmf.unizg.hr/id/eprint/5299

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