(iteratively divides the graph into communities based on the signs of the eigenvector that corresponds to the largest eigenvalue of the modularity matrix), Walktrap [38] (merges communities based on short random walks since staying within a cluster is more likely than leaving it), Spinglass [...
or by eigenvalue decomposition of the covariance matrix, which has been shown to be suboptimal for phase estimation (Ansari et al., 2018; Samiei-Esfahany et al., 2016). These methods swap the processing order and apply the network inversion as pre-processing steps for the estimation of optim...
Instead of choosing one, this work investigates both approaches and analyzes the possibility they are correlated. The feasible combinations of these approaches, according to the choices of small business owner-managers in the questionnaires, will be defined in this work of managerial styles. Managerial...
Therefore, areas must be determined such that each of them is uniquely characterized by mean/distribu- tion pair. Then, each area must be associated with unique small-scale propagation model {Ri(n), n = 0, 1, . . .}, i = 1, 2, . . ., M such that E[Ri] = Pi, i.e., ...
To investigate the effectiveness of each eigenvalue in classification, the performance of a single statistic and different statistical combinations were studied. For the eigenvalue of the input SVM model, it was linearly normalized to [−1, 1] by its minimum and maximum values. The RBF kernel...
Electronic matrix display screen - uses closely-packed light guides to join small images to form larger without gaps or overlapThe system has an array of, e.g. display screens (22), reproducing parts of a large image. The sub-images of the screens are blended together into the large image...