Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 2 of 2 for “"interpretable clustering"”.
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Statistical Learning Methods for Challenges arised from Self-Reported Data
This thesis focuses on developing advanced clustering methods and analyzing data arised from chronic pain (CP) studies, with a particular emphasis on the unique challenges posed by self-reported (SR) data. Latent class analysis (LCA) is explored in the early stages of this work to cluster patients, …
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Data-driven healthcare via constraint learning and analytics
… regimen design. In Chapter 3, we propose an interpretable clustering algorithm which learns a tree-based data partition in which each leaf comprises a distinct cluster. We recover high-quality clusters that can be explicitly described by their decision paths. The second part of the thesis …