clevr

clevr-package

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.

internal

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.

Neil Marchant

Clustering and Link Prediction Evaluation in R

Rebecca Steorts

Olivier Binette

clevr-package function

Maintainer: Neil Marchant <a href="/link/ngmarchant%40gmail.com?package=clevr&version=0.1.2" data-mini-rdoc="clevr::ngmarchant@gmail.com">ngmarchant@gmail.com</a>
Authors:<ul>
<li>Rebecca Steorts <a href="/link/beka%40stat.duke.edu?package=clevr&version=0.1.2" data-mini-rdoc="clevr::beka@stat.duke.edu">beka@stat.duke.edu</a></li>
</ul>

Author

clevr: Clustering and Link Prediction Evaluation in R — clevr-package

Maintainer: Neil Marchant <a href='mailto:ngmarchant@gmail.com'>ngmarchant@gmail.com</a>
Authors:<ul>
<li>Rebecca Steorts <a href='mailto:beka@stat.duke.edu'>beka@stat.duke.edu</a></li>
</ul>

clevr-package: clevr: Clustering and Link Prediction Evaluation in R

Description

Arguments

Author

See Also