Suppose we want to cluster scientists into different groups such that in each group scientists have some research interest in common. The data available to us is the coauthor relationships. How do we classify using spectral clustering ? Now suppose some of the scientists are already labeled. How do we use that information effectively? In addition, we have the data regarding the political viewpoints of the scientists. Now how do we combine both sets of data to get a useful clustering ? We will look into an algorithm proposed by Zhous et. al.
Learning from Labeled and Unlabeled Data on a Directed Graph, Zhou et. al., 2005
Spectral Clustering and Transductive Learning with Multiple Views, Zhou et. al., 2007