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Network-based Clustering under Heterogeneity Constraints
Sharon Bruckner [1] (FU Berlin)
In this talk I present work done by Falk Hüffner, Christian
Komusiewicz, Rolf Niedermeier, Sven Thiel, and Johannes Uhlmann and
myself on the the Colorful Components problem.
Given a
vertex-colored graph, we want to delete a minimum number of edges such
that no connected component contains two vertices of the same color.
This problem has applications in many fields such as biology (multiple
sequence alignment, network alignment) and data mining (the wikipedia
language graph). We show that Colorful Components is polynomial-time
solvable for two colors, but NP-hard already for three colors or on
binary trees. On the positive side, we give a fixed-parameter
algorithm for trees with running time 2^{c}n^{O(1)}, where c is the
number of colors and n is the number of vertices in the tree. For
general graphs G, we give a fixed-parameter algorithm with running
time O((c-1)^k|G|), where k is the number of edges to delete. As
additional solving strategies, we present polynomial-time data
reduction rules, an ILP formulation, and a formulation as implicit
hitting set problem. We present experiments with real-world data,
compare the solution methods above and discuss our results and future
plans.
date | speaker | location | language |
---|---|---|---|
19.01.2012 16:15 | Sharon
Bruckner | FR
6510 | english |
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