isolation-forests

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dlab-berkeley / Unsupervised-Learning-in-R

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

clustering dimensionality-reduction unsupervised-learning umap hdbscan isolation-forests glrm latent-class-analysis

Updated Jun 8, 2020
R

eaglewarrior / Anomaly-Detection

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This repo depicts the techniques I have tried to detect anomalies in a dataset.

algorithm financial outlier-detection hacktoberfest detect-anomalies isolation-forests

Updated Sep 12, 2022
Jupyter Notebook

joy-wj / isolation-forest

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Implementation of anomaly detection algorithm in Python

anomaly-detection isolation-forests

Updated Apr 2, 2019
Python

devissaputra / anomaly_detection

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Empirical label-blind anomaly detection on Numenta Anomaly Benchmark streams with chronological evaluation, alert-budget calibration, event metrics, and reproducible research artifacts.

time-series reproducible-research ml isolation-forests ai-engineering unsupervised-learning- anomaly-detection- streaming-anomaly-detection threshold-calibration numenta-anomaly-benchmark

Updated Sep 25, 2026
Python

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