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Principal Component Analysis of Building Cluster Factors

  • Hua Ai
  • Qiang LiuEmail author
  • Zhen Wang
  • Zezhong Zheng
  • Yaosen Huang
  • Zhiqin Huang
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 699)

Abstract

Building properties on a map can be represented by multiple building characterization factors. In this paper, using principal component analysis method, we analyzed multiple factors characterizing buildings. Also, through dimensionality reduction transformation into a small amount of comprehensive factors, this paper proposed simplified expression of building properties, to better meet the need of map generalization for buildings.

Keywords

Principal component analysis Map generalization Building cluster factor 

Notes

Acknowledgments

This work was partially supported by Science Research Program of Land and Resources Department of Sichuan Province (No. KJ201613 and No. KJ20159), and The Project Supported by the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources (No. KF-2016-02-007).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  • Hua Ai
    • 1
  • Qiang Liu
    • 2
    Email author
  • Zhen Wang
    • 2
  • Zezhong Zheng
    • 2
  • Yaosen Huang
    • 2
  • Zhiqin Huang
    • 3
  1. 1.Neijiang Normal UniversityNeijiangPeople’s Republic of China
  2. 2.School of Resources and EnvironmentUniversity of Electronic Science and Technology of ChinaChengduPeople’s Republic of China
  3. 3.Department of Land and Resources of Sichuan ProvinceChengduPeople’s Republic of China

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