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Download the Paper (1.1 MB, PDF file) - January 1, 2004 Tell a colleague about it. Printing Tips: Select 'print as image' in the Acrobat print dialog if you have trouble printing.

ABSTRACT:
This work discusses computational problems related to the implementation of Victor and Purpura’s spike time distance metric for point processes. Properties of the metric and extensions of its use are investigated. These extensions include prototype point patterns that can be used for describing a typical point pattern and various clustering algorithms that can be applied to point process data through use of spike-time distance and prototype patterns.

SUGGESTED CITATION:
Katherine Tranbarger and Frederic P. Schoenberg, "On the Computation and Application of Prototype Point Patterns" (January 1, 2004). Department of Statistics, UCLA. Department of Statistics Papers. Paper 2004010110.
http://repositories.cdlib.org/uclastat/papers/2004010110