Assessment of Projection Pursuit Index for Classifying High Dimension Low Sample Size Data in R
Assessment of Projection Pursuit Index for Classifying High Dimension Low Sample Size Data in R
Analyzing ālarge p small nā data is becoming increasingly paramount in a wide range of application fields. As a projection pursuit index, the Penalized Discriminant Analysis ($\mathrm{PDA}$) index, built upon the Linear Discriminant Analysis ($\mathrm{LDA}$) index, is devised in Lee and Cook (2010) to classify high-dimensional data with promising results. ā¦