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From the 1 of 4 linked papers with an AI index.

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20242026
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4 papers

stat.ML2026

CROCS: A Two-Stage Clustering Framework for Behaviour-Centric Consumer Segmentation with Smart Meter Data

Luke W. Yerbury, Ricardo J. G. B. Campello, G. C. Livingston +2

The paper introduces CROCS, a two‑stage clustering method that first summarizes each household’s daily electricity usage into representative load patterns and then groups household…

stat.AP2025

Comparing Clustering Approaches for Smart Meter Time Series: Investigating the Influence of Dataset Properties on Performance

Luke W. Yerbury, Ricardo J. G. B. Campello, G. C. Livingston +2

The widespread adoption of smart meters for monitoring energy consumption has generated vast quantities of high-resolution time series data which remains underutilised. While clust…

stat.ML2024

On the Use of Relative Validity Indices for Comparing Clustering Approaches

Luke W. Yerbury, Ricardo J. G. B. Campello, G. C. Livingston +2

Relative Validity Indices (RVIs) such as the Silhouette Width Criterion and Davies Bouldin indices are the most widely used tools for evaluating and optimising clustering outcomes.…

cs.LG2024

Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers (Extended Version)

Philipp Röchner, Henrique O. Marques, Ricardo J. G. B. Campello +2

Outlier detection algorithms typically assign an outlier score to each observation in a dataset, indicating the degree to which an observation is an outlier. However, these scores…