Manifold Clustering of Shapes

  title={Manifold Clustering of Shapes},
  author={Dragomir Yankov and Eamonn J. Keogh},
  journal={Sixth International Conference on Data Mining (ICDM'06)},
Shape clustering can significantly facilitate the automatic labeling of objects present in image collections. For example, it could outline the existing groups of pathological cells in a bank of cyto-images; the groups of species on photographs collected from certain aerials; or the groups of objects observed on surveillance scenes from an office building. Here we demonstrate that a nonlinear projection algorithm such as Isomap can attract together shapes of similar objects, suggesting the… CONTINUE READING
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