Spectral clustering is a meta-algorithm, meaning that there are dozens of variations. The demo implementation uses a radial basis function (RBF) kernel to construct the affinity matrix, a normalized ...

Two unsupervised spectral feature selection algorithms are proposed in this paper. They group features using advanced Self-Tuning spectral clustering algorithm based on local standard deviation ...