School of Technology and Computer Science Seminars
Spectral Clustering and Transductive Learning for Graphical Data
by Mr. Tapan Shah (School of Technology and Computer Science)
Monday, November 28, 2011
from
to
(Asia/Kolkata)
at Colaba Campus ( A-212 (STCS Seminar Room) )
at Colaba Campus ( A-212 (STCS Seminar Room) )
Description |
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. References: 1) Learning from Labeled and Unlabeled Data on a Directed Graph, Zhou et.al., 2005 2) Spectral Clustering and Transductive Learning with Multiple Views, Zhou et. al., 2007 |