The demo implementation uses a radial basis function (RBF) kernel to construct the affinity matrix, a normalized Laplacian matrix based on weights, embedding using eigenvectors via QR decomposition ...

Our numerical study shows that the intermediate fusion techniques outperform late fusion methods, namely spectral clustering on aggregate spectral kernel and module allegiance matrix in sparse ...

Community membership is acquired by applying the spectral method to the SLIM. The SLIM outperforms state-of-art methods in many real data sets and simulations. It is also robust to the choice of ...

Spectral clustering (SC) analysis of the data set identified multiple vectors representing distinct aspects of gene expression heterogeneity between samples. Gene ontology (GO) analysis of vector gene ...