Mittagsseminar (in cooperation with A. Steger, D. Steurer and B. Sudakov)

Date and Time: Tuesday, January 13, 2004, 12:15 pm

Duration: This information is not available in the database

Location: This information is not available in the database

Speaker: Dieter Mitsche

The Hidden Cluster Problem

The Hidden Cluster Problem on a random graph is defined as follows: given a graph randomly drawn from a distribution G(n,k,p,q) - a graph on n vertices with k clusters, where p denotes the probability of an edge between two vertices within the same cluster, q denotes the probability of an edge between two vertices in different clusters, p > q - the problem is to find the ('hidden') clusters planted in this graph via this distribution.

In this talk, I will sketch Frank McSherry's approach of solving this problem - in his paper "Spectral Partitioning of Random Graphs' he puts two vertices into the same cluster, if the norm of the difference between the columns in the projection matrix corresponding to these vertices is small.

Frank McSherry, Spectral Partitioning of Random Graphs, Proceedings of 42nd IEEE Symosium on Foundations of Computer Science (FOCS) 201, p. 529-537.

Upcoming talks     |     All previous talks     |     Talks by speaker     |     Upcoming talks in iCal format (beta version!)

Previous talks by year:   2023  2022  2021  2020  2019  2018  2017  2016  2015  2014  2013  2012  2011  2010  2009  2008  2007  2006  2005  2004  2003  2002  2001  2000  1999  1998  1997  1996  

Information for students and suggested topics for student talks

Automatic MiSe System Software Version 1.4803M   |   admin login