CRAN

aricode 0.1.2

Efficient Computations of Standard Clustering Comparison Measures

Released Jun 29, 2019 by Julien Chiquet

This package cannot yet be used with Renjin because there was a problem building the package using Renjin's toolchain. View Build Log

Dependencies

Matrix 1.2-17 Rcpp

Implements an efficient O(n) algorithm based on bucket-sorting for fast computation of standard clustering comparison measures. Available measures include adjusted Rand index (ARI), normalized information distance (NID), normalized mutual information (NMI), adjusted mutual information (AMI), normalized variation information (NVI) and entropy, as described in Vinh et al (2009) .

Source

R
C++

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