Interactively Guiding Semi-Supervised Clustering via Attribute-Based Explanations

  title={Interactively Guiding Semi-Supervised Clustering via Attribute-Based Explanations},
  author={Shrenik Lad and Devi Parikh},
Unsupervised image clustering is a challenging and often illposed 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 constrained clustering thus leverage user-provided annotations indicating which pairs of images belong to the same cluster (must-link) and which ones do not (cannot-link). These approaches require many… CONTINUE READING
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