We introduce a technique for extending the classical method of linear discriminant analysis (LDA) to data sets where the predictor variables are curves or functions. This procedure, which we call ...

Large-scale data are common when the sample size n is large, and these data are often stored on k different local machines. Distributed statistical learning is an efficient way to deal with such data.

Original Communication Published: 26 February 2004 Application of linear discriminant analysis to the biochemical and haematological differentiation of opiate addicts from healthy subjects: a case ...