MaximumDiscriminationFunction: Maximum Discrimination Function

In sysbioTurin/connector: Fitting and clustering of longitudinal data

Maximum Discrimination Function

Description

Visualizes the h curve(s) representing the optimal weights to apply to each dimension for determining the cluster membership.

Usage

MaximumDiscriminationFunction(clusterdata, absvalue = TRUE)

Arguments

clusterdata	The list obtained from extrapolating the most probable clustering from the StabilityAnalysis function output. (see StabilityAnalysis and MostProbableClustering.Extrapolation).
absvalue	If TRUE, the absolute values of the weights are plotted. @return MaximumDiscriminationFunction generates two plots as ggplot objects, showing the weights applied to each dimension for determining the cluster membership, plotted as a single curve.

Author(s)

Cordero Francesca, Pernice Simone, Sirovich Roberta

References

Gareth M. James and Catherine A. Sugar, (2003). Clustering for Sparsely Sampled Functional Data. Journal of the American Statistical Association.

sysbioTurin/connector documentation built on April 9, 2024, 12:10 p.m.