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Please use this identifier to cite or link to this item: http://elib.bsu.by/handle/123456789/166285
Title: N-dimensional Hilbert scanned hierarchical histogram representation for cluster analysis
Authors: Ablameyko, Sergey V.
Kamata, Sei-ichiro
Keywords: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика
Issue Date: 2001
Citation: Proceedings of 6th International Conference on Pattern Recognition and Information Processing (PRIP’2001), May 15–17, 2001, Minsk, Belarus. – Minsk, 2001. – Vol. 1. – P. 113–120.
Abstract: We propose a hierarchical representation of histograms using the Hilbert scanning algorithm in order to analyze distribution of A-dimensional data. Previous methods typically used a linear transformation such as principal component analysis. The merits of our method are that cluster information can be found from the display easily, and the distance between data in TV-dimensional space is not required to compute the clusters
URI: http://elib.bsu.by/handle/123456789/166285
ISBN: 83-87362-37-9
Appears in Collections:1997-2009

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