Morphological boundary detection for cluster analysis and HEP data classification
نویسنده
چکیده
This paper gives a new mode boundary approach for cluster analysis, based on mathematical concepts. It consists of a fast Parzen estimation of the underlying p.d.f. and a smoothing using numerical morphological transformation. The performance of this approach, with respect to a defined classification rule, is demonstrated on SM Higgs boson identification using generated LHC events.
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