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News/K-Models: a Flexible and Interpretable Method for Ordinal Clustering with Application to Antigen-Antibody Interaction Profiles
arxiv
PublishedMay 15, 2026 at 4:00 AM
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K-Models: a Flexible and Interpretable Method for Ordinal Clustering with Application to Antigen-Antibody Interaction Profiles

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Publisher summary· verbatim

arXiv:2605.14828v1 Announce Type: cross Abstract: Existing clustering methods for functional data often prioritize partitioning accuracy over interpretability, making it challenging to extract meaningful insights when the data-generating process follows a specific underlying structure and an ordinal

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Mentioned models
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  • 01
    K-Models
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Tags
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#clustering#interpretability#machine-learning#functional-data

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