Fuzzy clustering method for large metabolic data set by statistical approach

This paper deals with the clustering of metabolism typology based on the energometry tests analysis. Three patients´ data sources are used in this work. Large data set of respiratory quotient measurements and calculated food utilization indicators are used for analysis, along with the data obtained by the biochemical analysis of blood and insulin tests. Lastly, data set comprising bioimpedance measurements and patients´ description is utilized. The fuzzy statistical method, Principal component analysis and standard data normalization methods are applied in this paper. The results are subsequently tested and medically evaluated and new research methods are described in conclusion.