{
"algorithm": "ml_pca",
"provenance": {
"paper": "Process Mining: Data Science in Action",
"citation": "van der Aalst, W.M.P. (2016). Process Mining: Data Science in Action. Springer. Ch 11.",
"locus": "Chapter 11, PCA on trace feature vectors",
"extraction": "verbatim"
},
"input": {
"log": "wasm4pm/tests/fixtures/running-example.xes"
},
"expected": {
"value": "components=6",
"description": "PCA on running example yields 6 components: min(n_traces=6, n_features) bounded by trace count"
}
}