clusterEval: Clustering Evaluation Against Ground Truth

In DavidGilgien/ML.RMCL: Multi-Level Regularized Markov Clustering

Description

This function evaluates the quality of a clustering when a ground truth clustering is available. It computes the percentage of mismatched nodes when matching the clusters.

Usage

clusterEval(x, y, verb = TRUE, perf = FALSE)

Arguments

x	vector of size n describing a clustering.
y	vector of size n describing a second clustering that will be compared to x.
verb	boolean value: if TRUE, the function prints a line for each cluster.
perf	boolean value: if TRUE, the function stops when it detects a different number of clusters and return 0.

Value

integer: percentage of correctly matched nodes when comparing the two clustering x and y.

Examples

g = generateEdgeList(n=1000)
res = ML_RMCL(g)
clusterEval(g$clusters, res)

DavidGilgien/ML.RMCL documentation built on May 6, 2019, 1:54 p.m.