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 5 of 5 for “"Semi-supervised clustering"”.
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Interactively Guiding Semi-Supervised Clustering via Attribute-based Explanations
Unsupervised image clustering is a challenging and often ill-posed problem. Existing image descriptors fail to capture the clustering criterion well, and more importantly, the criterion itself may depend on (unknown) user preferences. Semi-supervised approaches such as distance metric learning and …
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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 Approaches in Water Pipe Condition Assessment and Failure Prediction
… of class imbalance in pipe failure datasets. A semi-supervised clustering approach was introduced, integrating expert knowledge with data-driven techniques to enhance the representation of rare failure events. This was supported by a hybrid sampling strategy and class weighting scheme, which …
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Data Clustering And Visualization Through Matrix Factorization
<p>Clustering is traditionally an unsupervised task which is to find natural groupings or clusters in multidimensional data based on perceived similarities among the patterns. The purpose of clustering is to extract useful information</p> <p>from unlabeled data.</p> <p>In order to present the …
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Outcome prediction and structure discovery in healthcare data
… We then turn to overcoming limitations in two clustering settings. In a semi-supervised setting, where pairwise constraints (relationships between pairs of points) are available, we develop an algorithm capable of performing accurate clustering under noisy constraints. This is achieved via soft …