Efficient Clustering for Orders

  title={Efficient Clustering for Orders},
  author={Toshihiro Kamishima and Shotaro Akaho},
  journal={Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)},
Lists of ordered objects are widely used as representational forms. Such ordered objects include Web search results or best-seller lists. Clustering is a useful data analysis technique for grouping mutually similar objects. To cluster orders, hierarchical clustering methods have been used together with dissimilarities defined between pairs of orders. However, hierarchical clustering methods cannot be applied to large-scale data due to their computational cost in terms of the number of orders… CONTINUE READING
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