Adaptive Rule Induction through Unsupervised Clustering and Label Propagation

Rule-based models are popular for their transparency and interpretability. However, statically generated rules are often unable to accommodate changing data distributions. This paper presents a semi-supervised pipeline for automatic, adaptive rule ind

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Publication Details

Published
2025-09-08
DOI
https://doi.org/10.36227/techrxiv.175735292.23069234/v1
Primary Topic
Fuzzy Logic and Control Systems
Type
article
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article

Adaptive Rule Induction through Unsupervised Clustering and Label Propagation

Saksham Ghimire
Fuzzy Logic and Control Systems
article

Adaptive Rule Induction through Unsupervised Clustering and Label Propagation

Saksham Ghimire
article en

Abstract

Rule-based models are popular for their transparency and interpretability. However, statically generated rules are often unable to accommodate changing data distributions. This paper presents a semi-supervised pipeline for automatic, adaptive rule ind

Openalex Percentile: Top 87%
Fuzzy Logic and Control Systems
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Adaptive Rule Induction through Unsupervised Clustering and Label Propagation — Saksham Ghimire · (2025) | TGRS Research Map | TGRS