2 papers
stat.ML2015
Laplacian Mixture Modeling for Network Analysis and Unsupervised Learning on Graphs
Daniel Korenblum
Laplacian mixture models identify overlapping regions of influence in unlabeled graph and network data in a scalable and computationally efficient way, yielding useful low-dimensio…
physics.data-an2003
Macrostate Data Clustering
Daniel Korenblum, David Shalloway
We develop an effective nonhierarchical data clustering method using an analogy to the dynamic coarse graining of a stochastic system. Analyzing the eigensystem of an interitem tra…