An exploration of methodologies to improve semi-supervised hierarchical clustering with knowledge-based constraints
Clustering algorithms with constraints (also known as semi-supervised clustering algorithms) have been introduced to the field of machine learning as a significant variant to the conventional unsupervised clustering learning algorithms. They have been demonstrated to achieve better performance due t...
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| Format: | Default Thesis |
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2019
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| Online Access: | https://dx.doi.org/10.26174/thesis.lboro.11401851.v1 |
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