dietary_survey_IBS: Dietary survey IBS [Hayes et al., 2013]

In Mthrun/FCPS: Fundamental Clustering Problems Suite

Dietary survey IBS [Hayes et al., 2013]

Description

Density based data set with two classes taken from clusterR.

Usage

data("dietary_survey_IBS")

Details

Size 400, Dimensions 42, stored in dietary_survey_IBS$Data

Classes 2, stored in dietary_survey_IBS$Cls: healthy-group (class == 1) vs. the IBS-patients (class == 2)

The data is based on the article "A dietary survey of patients with irritable bowel syndrome". The mean and standard deviation of the table 1 (Foods perceived as causing or worsening irritable bowel syndrome symptoms in the IBS group and digestive symptoms in the healthy comparative group) were used to generate the synthetic data" [Hayes et al., 2013].

References

[Hayes et al., 2013] P. Hayes, C. Corish, E. O'Mahony, E. M. M. Quigley: A dietary survey of patients with irritable bowel syndrome, Journal of Human Nutrition and Dietetics,2013.

Examples

data(dietary_survey_IBS)
str(dietary_survey_IBS)

Data=dietary_survey_IBS$Data
Cls=dietary_survey_IBS$Cls
## The Pswarm is able to seperate density-based clusters
#res=DatabionicSwarm::Pswarm(RobustNormalization(Data,T),PlotIt = T,Cls = Cls)
## We clearly see that the U-Matrix visualization is unable to catch these structures
## because it is only usable for distance structures

#resU=GeneratePswarmVisualization(Data,res$ProjectedPoints,res$LC,PlotIt = T)

Mthrun/FCPS documentation built on June 28, 2023, 9:29 a.m.