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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.

168,742 papers · 148 categories

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3 results for “OCLUST”

funOCLUST: Clustering Functional Data with Outliersstat.ML

Enhances clustering for functional data, robust to outliers.

problem Challenges of clustering infinite-dimensional functional data and outlier sensitivity.

method Extends OCLUST algorithm to handle functional data, trimming outliers.

result Strong performance in clustering and outlier identification on simulated and real-world datasets.

functional data clustering outliers OCLUST robustness

2025-07-31abs ↗pdf ↗

Clustering Three-Way Data with Outliersstat.ML

New method clusters matrix-variate data with outliers.

problem Clustering matrix-variate data with outliers.

method Iterative approach using subset log-likelihoods.

result Extends OCLUST algorithm to matrix-variate normal data.

matrix-variate data outliers clustering log-likelihoods iterative approach

2023-10-08abs ↗pdf ↗

Finding Outliers in Gaussian Model-Based Clusteringstat.ME

Clustering, or unsupervised classification, is a task often plagued by outliers. Yet there is a paucity of work on handling outliers in clustering. Outlier identification algorithms tend to fall into three broad categories: outlier inclusion, outlier trimming, and post hoc outlier identification methods, with the forme…

2019-07-02abs ↗pdf ↗