A new time series classification approach

Konstantinos N. Plataniotis, Dimitrios Androutsos, Anastasios N. Venetsanopoulos, Demetrios G. Lainiotis

Abstract: A new, robust and computationally attractive approach to the problem of time series classification is discussed in this paper. Both the Bayesian as well as a new adaptive classification scheme for source selection are discussed. Simulation results are included to demonstrate the effectiveness of the new methodology.