Consider a dataset of m-dimensional feature vectors, with each vector x ∈ R m generated independently from a distribution with a finite mean vector µ.
objects x in this dataset are drawn from a distribution P(x), i.e., x ∼ P(x), where E[•] denotes the expectation of a random variable.