FMeasure: F measure

In saeyslab/FlowSOM: Using self-organizing maps for visualization and interpretation of cytometry data

F measure

Description

Compute the F measure between two clustering results

Usage

FMeasure(realClusters, predictedClusters, silent = FALSE)

Arguments

realClusters	Array containing real cluster labels for each sample
predictedClusters	Array containing predicted cluster labels for each sample
silent	Logical, if FALSE (default), print some information about precision and recall

Value

F measure score

Examples

# Generate some random data as an example
realClusters <- sample(1:5,100,replace = TRUE)
predictedClusters <- sample(1:6, 100, replace = TRUE)

# Calculate the FMeasure
FMeasure(realClusters,predictedClusters)

saeyslab/FlowSOM documentation built on April 20, 2024, 8:30 p.m.