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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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2 results for “RuzHash-iForest”

Preference Isolation Forest for Structure-based Anomaly Detectioncs.LG

A new framework detects anomalies in structured data.

problem Detecting anomalies in samples not conforming to low-dimensional manifolds.

method Preference Isolation Forest (PIF) framework combining adaptive isolation methods and preference embedding.

result Anomalies identified as isolated points in a high-dimensional preference space.

anomaly detection structured data low-dimensional manifolds Voronoi-iForest RuzHash-iForest

2025-05-16abs ↗pdf ↗

Structure-based Anomaly Detection and Clusteringcs.LG

New unsupervised methods for anomaly detection and clustering in structured and streaming data.

problem Anomaly detection and clustering in structured and streaming data.

method Preference Isolation Forest (PIF), Sliding-PIF, MultiLink, Online-iForest, MaxLogit.

result Methods outperform existing techniques on synthetic and real datasets.

anomaly detection clustering streaming data manifold fitting Locality Sensitive Hashing

2025-05-19abs ↗pdf ↗