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URBAN CLASSIFICATION BASED ON RANDOM FOREST ALGORITHM

Name: URBAN CLASSIFICATION BASED ON RANDOM FOREST ALGORITHM
Creator: Peng Lin and Lixin Yang
Keywords: Random Forest Algorithm City Classification Index System Objective Happiness

descriptionPublicationkeyboard_double_arrow_right Article 15 Nov 2019Publisher:Zenodo

Authors: Peng Lin and Lixin Yang;

doi: 10.5281/zenodo.3593713 , 10.5281/zenodo.3593714

URBAN CLASSIFICATION BASED ON RANDOM FOREST ALGORITHM

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Abstract

This paper discussed the research content from five parts. The first chapter mainly introduced the background and significance of the research and the research status at home and abroad. The second chapter introduced the theoretical knowledge and implementation of the research method, namely the random forest algorithm. The third chapter introduced the index system of city classification.The fourth chapter introduced the establishment of stochastic forest algorithm model and discusses the feasibility of the model from the model results. The fifth chapter made a summary of the whole thesis.

Related Organizations

Shandong University of Technology
China (People's Republic of)

Keywords

Random Forest Algorithm City Classification Index System Objective Happiness

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