Purity: Calculate mean weighted cluster purity

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

Description

Calculate mean weighted cluster purity

Usage

Purity(realClusters, predictedClusters, weighted = TRUE)

Arguments

realClusters	array with real cluster values
predictedClusters	array with predicted cluster values
weighted	logical. Should the mean be weighted depending on the number of poins in the predicted clusters

Value

Mean purity score, worst score, number of clusters with score < 0.75

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
Purity(realClusters,predictedClusters)

Example output

Loading required package: igraph

Attaching package: 'igraph'

The following objects are masked from 'package:stats':

    decompose, spectrum

The following object is masked from 'package:base':

    union

[1] 0.36 0.30 6.00

FlowSOM documentation built on Nov. 8, 2020, 6:40 p.m.