Bulk construction of dynamic clustered metric trees

  title={Bulk construction of dynamic clustered metric trees},
  author={Lior Aronovich and Israel Spiegler},
  journal={Knowledge and Information Systems},
Repositories of complex data types, such as images, audio, video and free text, are becoming increasingly frequent in various fields. A general searching approach for such data types is that of similarity search, where the search is for similar objects and similarity is modeled by a metric distance function. An important class of access methods for similarity search in metric data is that of dynamic clustered metric trees, where the index is structured as a paged and balanced tree and the space… CONTINUE READING


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