ICA-based acceleration of probabilistic latent component analysis for mass spectrometry-based explosives detection

We propose a new method to separate mass spectra into components of each chemical compound for explosives detection. The conventional method based on probabilistic latent component analysis (PLCA) is effective because the method can solve the problems of non-negativity and non-orthogonality by using sparsity of the domain of explosives detection. However, the convergence of the method is slow, and the calculation time is long. In order to solve this problem, the proposed method makes use of independent component analysis (ICA) in the initialization process. Experimental results indicate that the convergence of the proposed method is accelerated, and total calculation time is decreased.