@article{THESIS,
      recid = {2895},
      author = {Lai, Yutian},
      title = {The Clustering of Chicago - a Long Term Perspective},
      publisher = {University of Chicago},
      school = {M.A.},
      address = {2021-06},
      number = {THESIS},
      abstract = {The purpose of this research lies in two aspects. The  first is to carry out an in-depth comparison of the  clustering results obtained from different methods, so as  to find the “optimal” clustering method. The second is to  conduct cluster analysis of Chicago utilizing the census  tracts data from three years 1950, 1980 and 2010, aiming to  understand the spatio-temporal transitions of Chicago  neighborhoods across the years. This study is both a  theoretical investigation and a methodological  investigation. The results indicates K-means clustering  using principal components proved to be the optimal method  in terms of the measures we chose, and the longitudinal  change in spatial patterns of Chicago resembled the  description of Chicago School theorists, while some  brand-new trajectories were also detected.},
      url = {http://knowledge.uchicago.edu/record/2895},
      doi = {https://doi.org/10.6082/uchicago.2895},
}