ComputePerformances: Compute the performances of the l1-spectral clustering...
In l1spectral: An L1-Version of the Spectral Clustering

Description Usage Arguments Value Author(s) See Also Examples

View source: R/ComputePerformances.R

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

1	ComputePerformances(Results, A)

`Results`	Output of the function `l1_spectralclustering()`.
`A`	The adjacency matrix of the graph to cluster.

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

Camille Champion, Magali Champion

l1_spectralclustering, l1spectral.

 #############################################################
 # 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)