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.