Predicting Outlier Memberships (2,000 Patients)

Abstract

With large data files outlier recognition requires a more sophisticated approach than the traditional data plots and regression lines. This chapter is to examine whether BIRCH (balanced iterative reducing and clustering using hierarchies) clustering is able to predict outliers in future patients from a known population.