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Clustering algorithm using space filling curves for the classification of high energy physics data

✍ Scribed by Mostafa Mjahed


Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
278 KB
Volume
119
Category
Article
ISSN
0920-5632

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✦ Synopsis


According to a space filling curve, distances between points in a multidimensional space are replaced by distances along a Lebesgue measure-preserving curve. By using a neighbouring approach on the space filling curve, several clusters may emerge fkom data and configurations may be associated to the considered k-jets events classes and corresponding to the processes e+ e-+ 277, w' W, W, ZZ + k jets, (k =2,3,4 and n (n+)).