Title:	USING PQR TREES FOR REORDERING QUANTITATIVE DATA MATRIX
Author(s):	Bruno Figueiredo Medina, Celmar Guimarães da Silva
ISBN:	978-989-8533-22-7
Editors:	Katherine Blashki and Yingcai Xiao
Year:	2014
Edition:	Single
Keywords:	Information Visualization, matrix reordering, PQR trees, PQR sort
Type:	Poster/Demonstration
First Page:	389
Last Page:	390
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	Matrix reordering algorithms tries to group similar rows and columns and show patterns. Earlier work tested and compared some of these algorithms on binary data matrices, and revealed that PQR Sort SR returned good results in terms of execution time and quality of reordered matrix. This paper presents a variation of the PQR Sort SR algorithm able to reorder matrices of quantitative data. Synthetic data exemplify the output of this algorithm.
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