ScholarGate
Assistent
Machine learning

Isolation Forest

Isolation Forest er en usuperviseret maskinlæringsmetode til detektion af anomalier og outliers, introduceret af Liu, Ting og Zhou i 2008, der isolerer anomalier gennem tilfældig partitionering af data. Den fungerer uden mærkede anomalidata og skalerer til højdimensionelle datasæt.

Åbn i MethodMindSnartVideoSnartDownload slides

Læs hele metoden

Kun for medlemmer

Log ind med en gratis konto for at læse dette afsnit.

Log ind

Method map

The neighbourhood of related methods — select a node to explore.

Isolation Forest
BeslutningstræGaussisk BlandingsmodelPrincipal Component Anal…Random Forestt-SNEActive Learning Isolatio…Aktiv læring One-class S…Autoencoder Anomalidetek…Bayesiansk Autoencoder A…Bayesiansk One-Class SVM

+24 more

Kilder

  1. Liu, F.T., Ting, K.M. & Zhou, Z.-H. (2008). Isolation Forest. IEEE ICDM, 413–422. DOI: 10.1109/ICDM.2008.17 ↗

Sådan citerer du denne side

ScholarGate. (2026, June 1). Isolation Forest (Anomaly Detection via Random Partitioning). ScholarGate. https://scholargate.app/da/machine-learning/isolation-forest

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side →

Refereret af

Active Learning Isolation ForestAktiv læring One-class SVMAutoencoder AnomalidetektionBayesiansk Autoencoder AnomalidetektionBayesiansk One-Class SVMEnsemble Autoencoder Anomaly DetectionEnsemble Isolation ForestEnsemble One-Class SVMForklarlig Autoencoder AnomalidetektionForklarlig Isolation ForestForklarlig One-Class SVMLightGBMLocal Outlier Factor (LOF)One-Class SVMOnline Autoencoder AnomalidetektionOnline Isolation ForestOnline One-Class SVMDetektion af uden-distributionsdataRobust Autoencoder Anomaly DetectionRobust Gaussian Mixture ModelRobust Isolation ForestRobust One-Class SVMRobust Random ForestSelv-overvåget autoencoder anomalidetektionSelf-supervised Isolation ForestSelv-overvåget One-class SVMSemi-overvåget Autoencoder AnomalidetektionSemi-supervised Isolation ForestSemi-supervised One-class SVM

Har du fundet en fejl på denne side? Indberet den eller foreslå en rettelse →

ScholarGate — Isolation Forest (Isolation Forest (Anomaly Detection via Random Partitioning)). Hentet 2026-06-15 fra https://scholargate.app/da/machine-learning/isolation-forest · Datasæt: https://doi.org/10.5281/zenodo.20539026