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Ka-me: Voronoi Image Analyzer 1.0

By John R Jungck1

1. Interdisciplinary Science Learning Center at the University of Delaware

Ka-me is a Voronoi image analyzer that allows users to analyze any image with a convex polygonal tessellation or any spatial point distribution by fitting Voronoi polygons and their dual, Delaunay triangulations, to the pattern.

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Version 1.0a - published on 15 Jun 2015

This tool is closed source.

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Usage

Simulation Users

62 in

Zoom 1y 6m 3m

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Users By Organization Type
Type Users
Unknown 55 (90.16)
University / 4-year College Faculty - Tenured 2 (3.28)
University / 4-year College Faculty - Tenure-track 2 (3.28)
University / 4-year College Faculty - Non-tenure eligible 1 (1.64)
universityfaculty 1 (1.64)
Users by Country of Residence
Country Users
Unknown 57 (91.94%)
UNITED STATES 5 (8.06%)

Simulation Runs

461 in

Zoom 1y 6m 3m

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Overview
Average Total
Wall Clock Time 53.85 minutes 17.24 days
CPU time 22.87 minutes 7.32 days
Interaction Time 33.58 minutes 10.75 days
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