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https://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 |
Files in This Item:
File | Description | Size | Format | |
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113-120 (2001).pdf | 940,3 kB | Adobe PDF | View/Open |
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