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simOutrank  

Outranking-Based Trace Clustering
View on CRAN: Click here


Download and install simOutrank package within the R console
Install from CRAN:
install.packages("simOutrank")

Install from Github:
library("remotes")
install_github("cran/simOutrank")

Install by package version:
library("remotes")
install_version("simOutrank", "0.3.0")



Attach the package and use:
library("simOutrank")
Maintained by
Pavlos Delias
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-19
Latest Update: 2026-07-19
Description:
Implements outranking-based trace clustering for process mining. Pairwise similarity between traces is assessed on multiple, problem-specific criteria using ELECTRE-III-style partial concordance and discordance indices with indifference, similarity and veto thresholds. The aggregated credibility matrix is then clustered using normalized spectral clustering or hierarchical clustering. Also includes outlier trimming, must-link/cannot-link adjustments, validation indices and diagnostic plots.
How to cite:
Pavlos Delias (2026). simOutrank: Outranking-Based Trace Clustering. R package version 0.3.0, https://cran.r-project.org/web/packages/simOutrank. Accessed 24 Oct. 2026.
Previous versions and publish date:
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