Friedman, J.H. and Meulman, J.J. (2004) Clustering Objects on Subsets of Attributes (with Discussion). Journal of the Royal Statistical Society: Series B (Statistical Methodology), 66, 815-849.
https://doi.org/10.1111/j.1467-9868.2004.02059.x

has been cited by the following article:

• TITLE: Methodology for Constructing a Short-Term Event Risk Score in Heart Failure Patients

  AUTHORS: Kévin Duarte, Jean-Marie Monnez, Eliane Albuisson

  KEYWORDS: Ensemble Predictor, Linear Discriminant Analysis, Logistic Regression, Mixed Data, Scoring, Supervised Classification

  JOURNAL NAME: Applied Mathematics, Vol.9 No.8, August 29, 2018

  ABSTRACT: We present a methodology for constructing a short-term event risk score in heart failure patients from an ensemble predictor, using bootstrap samples, two different classification rules, logistic regression and linear discriminant analysis for mixed data, continuous or categorical, and random selection of explanatory variables to build individual predictors. We define a measure of the importance of each variable in the score and an event risk measure by an odds-ratio. Moreover, we establish a property of linear discriminant analysis for mixed data. This methodology is applied to EPHESUS trial patients on whom biological, clinical and medical history variables were measured.