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Creating Polygon Models for Spatial Clusters

  • Fatih Akdag
  • Christoph F. Eick
  • Guoning Chen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8502)

Abstract

This paper proposes a novel methodology for creating efficient polygon models for spatial datasets. A comprehensive analysis framework is proposed that takes a spatial cluster as an input and generates a polygon model for the cluster as an output. The framework creates a visually appealing, simple, and smooth polygon for the cluster by minimizing a fitness function. We propose a novel polygon fitness function for this task. Moreover, a novel emptiness measure is introduced for quantifying the presence of empty spaces inside polygons.

Keywords

Spatial data mining Polygon Models for Point Sets Spatial Clustering Polygon Fitness Function Polygon Emptiness Measure 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Fatih Akdag
    • 1
  • Christoph F. Eick
    • 1
  • Guoning Chen
    • 1
  1. 1.Department of Computer ScienceUniversity of HoustonUSA

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