Fixed vs quantile thresholds | Threshold sensitivity | Weight sensitivity | Choosing k | Takeaway
Package: simOutrank 0.3.0
simOutrank: Outranking-Based Trace Clustering
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.
Authors:
simOutrank_0.3.0.tar.gz
simOutrank_0.3.0.zip(r-4.7)simOutrank_0.3.0.zip(r-4.6)simOutrank_0.3.0.zip(r-4.5)
simOutrank_0.3.0.tgz(r-4.6-any)simOutrank_0.3.0.tgz(r-4.5-any)
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simOutrank_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
simOutrank/json (API)
| # Install 'simOutrank' in R: |
| install.packages('simOutrank', repos = c('https://pdelias.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pdelias/simoutrank/issues
Pkgdown/docs site:https://pdelias.github.io
Datasets:
- illustrative_log - Illustrative customer-service event log
Last updated from:db969a2cfe. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 138 | ||
| source / vignettes | OK | 189 | ||
| linux-release-x86_64 | OK | 159 | ||
| macos-release-arm64 | OK | 172 | ||
| macos-oldrel-arm64 | OK | 144 | ||
| windows-devel | OK | 68 | ||
| windows-release | OK | 86 | ||
| windows-oldrel | OK | 80 | ||
| wasm-release | OK | 123 |
Exports:as_quantileas_tracesaugment_logcannot_linkcluster_tracescrit_activity_profilecrit_customcrit_distinct_activitiescrit_durationcrit_edit_distancecrit_nominalcrit_numericcrit_ordinalcrit_trace_lengthcrit_transitionscriterioneigengapmust_linkoutrank_similaritytrim_outliersvalidate_clusters
Dependencies:lpSolvestringdist
Parameter tuning and sensitivity
Last update: 2026-07-10
Started: 2026-07-08
Getting started with simOutrank
1. Traces | 2. Criteria | 3. Similarity | 4. How many clusters? | 5. Cluster | 6. Use the result | Where next | Reference
Last update: 2026-07-10
Started: 2026-07-08
Reproducing the illustrative example
The scenario | The criteria (Table 2) | Run 1: clustering without domain knowledge | A note on exact reproduction | Reference
Last update: 2026-07-10
Started: 2026-07-08
Robustness: constraints and trimming
Run 2: cannot-link the tiers | Run 3: trim outliers | Putting it together | Reference
Last update: 2026-07-10
Started: 2026-07-08
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Quantile threshold specification | as_quantile |
| Represent an event log as traces | as_traces as_traces.activitylog as_traces.data.frame as_traces.eventlog |
| Join cluster memberships onto an event log | augment_log |
| Cluster traces from a credibility matrix | cluster_traces |
| Must-link and cannot-link constraints | cannot_link constraints must_link |
| Attribute-based criterion templates | crit_attribute crit_nominal crit_numeric crit_ordinal |
| Custom criterion | crit_custom |
| Process-aware criteria | crit_activity_profile crit_distinct_activities crit_duration crit_edit_distance crit_process crit_trace_length crit_transitions |
| Define an outranking criterion | criterion |
| Eigenvalue gap diagnostic | eigengap |
| Illustrative customer-service event log | illustrative_log |
| Outranking credibility matrix | outrank_similarity |
| Plot a trace clustering | plot.outrank_clust |
| Per-case summary of a 'traces' object | summary.traces |
| Trim outlier cases | trim_outliers |
| Internal cluster validity indices | validate_clusters |
