Hierarchical Clustering in Face Similarity Score Space

@article{Grant2016HierarchicalCI,
  title={Hierarchical Clustering in Face Similarity Score Space},
  author={Jason M. Grant and Patrick J. Flynn},
  journal={CoRR},
  year={2016},
  volume={abs/1605.06052}
}
Similarity scores in face recognition represent the proximity between pairs of images as computed by a matching algorithm. Given a large set of images and the proximities between all pairs, a similarity score space is defined. Cluster analysis was applied to the similarity score space to develop various taxonomies. Given the number of subjects in the… CONTINUE READING