ComputePerformances {l1spectral}

Compute the performances of the l1-spectral clustering algorithm

Description

This function computes the performances of the l1-spectral clustering algorithm in terms of Normalized Mutualized Information (NMI).

Usage

ComputePerformances(Results, A)

Arguments

Results

Output of the function l1_spectralclustering().

A

The adjacency matrix of the graph to cluster.

Value

The Normalized Mutualized Information (NMI), Adjusted Mutualized Information (AMI) and Adjusted Rand Index (ARI) scores.

Author(s)

Camille Champion, Magali Champion

See Also

l1_spectralclustering, l1spectral.

Examples

 #############################################################
 # Computing the performances
 #############################################################

 data(ToyData)

 results <- l1_spectralclustering(A = ToyData$A_hat, pen = "lasso",
             k=2, elements = c(1,4))

 ComputePerformances(Results=results,A=ToyData$A)