Package: clevr 0.1.2

Neil Marchant

clevr: 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.

Authors:Neil Marchant [aut, cre], Rebecca Steorts [aut], Olivier Binette [ctb]

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clevr.pdf |clevr.html✨
clevr/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/cleanzr/clevr/issues

On CRAN:

clustering-evaluationentity-resolutionevaluation-metricslink-predictionrecord-linkage

27 exports 10 stars 1.65 score 4 dependencies 41 scripts 335 downloads

Last updated 1 years agofrom:7757279d02. Checks:OK: 9. Indexed: yes.

Exports:accuracy_pairsadj_rand_indexbalanced_accuracy_pairscanonicalize_pairsclusters_to_membershipclusters_to_pairscompletenesscontingency_table_clusterscontingency_table_pairseval_report_clusterseval_report_pairsf_measure_pairsfowlkes_mallowsfowlkes_mallows_pairshomogeneitymembership_to_clustersmembership_to_pairsmutual_infopairs_to_clusterspairs_to_membershipprecision_pairsrand_indexrecall_pairssensitivity_pairsspecificity_pairsv_measurevariation_info

Dependencies:BHlatticeMatrixRcpp