By Bernard Chazelle (auth.), Frank Dehne, Andrew Rau-Chaplin, Jörg-Rüdiger Sack, Roberto Tamassia (eds.)
This ebook constitutes the refereed lawsuits of the fifth foreign Workshop on Algorithms and knowledge buildings, WADS'97, held in Nova Scotia, Halifax, Canada, in August 1997.
The 37 revised complete papers offered have been conscientiously chosen from a complete of eighty one submissions. additionally incorporated are 4 abstracts and one complete contribution comparable to the invited talks. one of the issues lined are information buildings and algorithmic elements in numerous parts like computational geometry, graph conception, networking, load balancing, optimization, approximation, sorting, trend matching, etc.
Read or Download Algorithms and Data Structures: 5th International Workshop, WADS'97 Halifax, Nova Scotia, Canada August 6–8, 1997 Proceedings PDF
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Extra resources for Algorithms and Data Structures: 5th International Workshop, WADS'97 Halifax, Nova Scotia, Canada August 6–8, 1997 Proceedings
Sample text
This definition of stars can be found in Kleiner and Hartigan (1981). Glyphs. Glyphs are similar to profiles and stars. The values of the variables are represented by not equally spaced rays emanating from a boundary of a circle of a fixed positive radius. Anderson (1960) defines glyphs. Boxes. Boxes represent each variable as a length in one of the three dimensions of a box. If there are more than three variables, then there will be several segments within each dimension. Hartigan (197%) defines boxes.
Z d ) E Rd. 3) We illustrate the effect of the choice of the level with four figures. 1. 19 shows a 2D point cloud which is a sample of size 1000 from a mixture of two Gaussians. l9(a). (b-c) A parallel level plot when the level is the distance from the arithmetic mean. 19(a). (b-c) A parallel level plot when the level is the first coordinate. 19 when one tail is removed. (b-c) A parallel level plot when the level is the distance from the arithmetic mean. GRAPHICAL MATRICES 23 level plot where we have attached a unique random level in { 1.
2 discusses visualization of univariate data. Covered are line plots, 1D scatter plots, index plots, time series plots, empirical distribution functions, tail plots, PP-plots, QQ-plots, Box-plots, and kernel estimates. 3 discusses parallel level plots. Parallel level plots are defined as a series of 1D scatter plots. 4 discusses graphical matrices. Graphical matrices are n x d matrices of graphical elements. 5 discusses visualization with graphical elements. Parallel coordinate plots, Andrew’s curves, and Chernoff faces are mentioned.