Title
HexBoard: Conveying Pairwise Similarity in an Incremental Visualization Space
Abstract
We introduce the HexBoard space and visualization tool, that provides an incremental visualization space that conveys pairwise similarity among all neighboring elements from a dynamic data set. It is a significant evolution on our previous work, incBoard, a chess board analogy for displaying (projecting) objects from a dynamic set on a 2D space, considering their similarity in a higher dimensional space. HexBoard relays on hexagons to represent data items: the only regular polygons that provide a regular tessellation of the Euclidean plane and where neighboring elements always share an edge. These edges are then easily manipulated to convey pairwise similarity information, thus overcoming a serious limitation of the previous solution, while preserving all advantages of incBoard (no occlusion, coherent disposition of elements, inherently incremental solution and low computational cost). This paper introduces HexBoard, discusses its potential and illustrates its application with examples.
Year
DOI
Venue
2009
10.1109/IV.2009.12
Barcelona
Keywords
Field
DocType
computational geometry,data visualisation,Euclidean plane,HexBoard space,higher dimensional space,incBoard,incremental visualization space,pairwise similarity,polygon,regular tessellation,High-dimensional data visualization,Multidimensional scaling,Projection
Pairwise comparison,Data visualization,Multidimensional scaling,Visualization,Computational geometry,Regular polygon,Theoretical computer science,Dynamic data,Tessellation,Mathematics
Conference
ISSN
ISBN
Citations 
1550-6037
978-0-7695-3733-7
5
PageRank 
References 
Authors
0.59
11
2
Name
Order
Citations
PageRank
Roberto Pinho150.59
Maria Cristina F. De Oliveira223813.18