Clustering and Link Prediction Evaluation in R

Tools for evaluating link prediction and clustering algorithms with respect to ground truth. Includes efficient implementations of common performance measures such as pairwise precision/recall, cluster homogeneity/completeness, variation of information, Rand index etc.


Reference manual

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0.1.1 by Neil Marchant, 10 months ago

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Authors: Neil Marchant [aut, cre] , Rebecca Steorts [aut]

Documentation:   PDF Manual  

GPL-2 license

Imports Rcpp, stats, Matrix

Suggests testthat

Linking to Rcpp, BH

See at CRAN