Robust speech recognition using consensus function based on multi-layer networks


The clustering ensembles mingle numerous partitions of a specified data into a single clustering solution. Clustering ensemble has emerged as a potent approach for ameliorating both the forcefulness and the stability of unsupervised classification results. One of the major problems in clustering ensembles is to find the best consensus function. Finding… (More)
DOI: 10.1109/CISTI.2014.6877093