Morphological boundary detection for cluster analysis and HEP data classification

Details Morphological boundary detection for cluster analysis and HEP data classification Morphological boundary detection for cluster analysis and HEP data classification

Dec 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006slft.confe..33m&link_type=abstract

Proceedings of the XXIVth International Symposium on Lattice Field Theory. July 23-28, 2006, Tucson, Arizona., p.33.1

Mathematics

Logic

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Morphological boundary detection for cluster analysis and HEP data classification does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Morphological boundary detection for cluster analysis and HEP data classification, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Morphological boundary detection for cluster analysis and HEP data classification will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-920364