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A platform for research: civil engineering, architecture and urbanism
Principal Component Analysis of Building Cluster Factors
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.
Principal Component Analysis of Building Cluster Factors
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.
Principal Component Analysis of Building Cluster Factors
Ai, Hua (author) / Liu, Qiang (author) / Wang, Zhen (author) / Zheng, Zezhong (author) / Huang, Yaosen (author) / Huang, Zhiqin (author)
2017-01-01
5 pages
Article/Chapter (Book)
Electronic Resource
English
Principal component analysis , Map generalization , Building cluster factor Computer Science , Information Storage and Retrieval , Data Mining and Knowledge Discovery , Special Purpose and Application-Based Systems , System Performance and Evaluation , Simulation and Modeling , Environmental Geography
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