“CLUSTERING CATEGORICAL RESPONSE” APPLICATION TO LUNG CANCER PROBLEMS IN LIVING SCALES

  • Ling Guo
  • Ling Guo
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Publication date
September 2016

Abstract

The study aims to estimate the ability of different grouping techniques on categorical response. We try to find out how well do they work? Do they really find clusters when clusters exist? We use Cancer Problems in Living Scales from the ACS as our categorical data variables and lung cancer survivors as our studying group. Five methods of cluster analysis are examined for their accuracy in clustering on both real CPILS dataset and simulated data. The methods include hierarchical cluster analysis (Ward's method), model-based clustering of raw data, model-based clustering of the factors scores from a maximum likelihood factor analysis, model-based clustering of the predicted scores from independent factor analysis, and the method of lat...

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