Path Based Pairwise Data Clustering with Application to Texture Segmentation

@inproceedings{Fischer2001PathBP,
  title={Path Based Pairwise Data Clustering with Application to Texture Segmentation},
  author={Bernd Fischer and Thomas Z{\"o}ller and Joachim M. Buhmann},
  booktitle={EMMCVPR},
  year={2001}
}
Most cost function based clustering or partitioning methods measure the compactness of groups of data. In contrast to this picture of a point source in feature space, some data sources are spread out on a low-dimensional manifold which is embedded in a high dimensional data space. This property is adequately captured by the criterion of connectedness which is approximated by graph theoretic partitioning methods. We propose in this paper a pairwise clustering cost function with a novel… CONTINUE READING
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