mailitics

Tag: cluster

  • Cluster-Based Generalized Additive Models Informed by Random Fourier Features

    Cluster-Based Generalized Additive Models Informed by Random Fourier Features arXiv:2512.19373v1 Announce Type: new Abstract: Explainable machine learning aims to strike a balance between prediction accuracy and model transparency, particularly in settings where black-box predictive models, such as deep neural networks or kernel-based methods, achieve strong empirical performance but remain difficult to interpret. This work introduces…

  • Outlyingness Scores with Cluster Catch Digraphs

    Outlyingness Scores with Cluster Catch Digraphs arXiv:2501.05530v1 Announce Type: new Abstract: This paper introduces two novel, outlyingness scores (OSs) based on Cluster Catch Digraphs (CCDs): Outbound Outlyingness Score (OOS) and Inbound Outlyingness Score (IOS). These scores enhance the interpretability of outlier detection results. Both OSs employ graph-, density-, and distribution-based techniques, tailored to high-dimensional data…