In 1974, Friedman and Tukey officially proposed the
concept of the PP model[19]. Based on PP, PPC model is
a new method to analyze and utilize high-dimensional
data, and especially to deal with nonlinear or nonnormal
data distributions[17]. The process of applying a
projection pursuit dynamic cluster model includes two
steps. The first step uses projection techniques to project
high-dimensional data into lower dimensions. The
second step is to analyze the projection eigenvalue,
which has been projected into a lower-dimensional
space, and clustered by dynamic clustering.