Analysis of the Weighted Fuzzy C-means in the Problem of Source Location
Everton Z. Nadalin, Rodrigo César da Silva, Romis Attux, João Marcos Travassos Romano · 2014
Abstract. This paper proposes the use of the clustering method called Weighted Fuzzy C-means to solve the problem of mixing matrix estimation in underdetermined source separation based on sparse component analysis. The performed comparative analysis shows that the approach has a significant application potential, especially if the distributions of the columns of the mixing matrix has a non-uniform character. 1