Question: Figure 2 . The weighted undirected graph for Q 2 . 1 ) Partition the graph into two sub - graphs so that the cut
Figure The weighted undirected graph for Q
Partition the graph into two subgraphs so that the cut cost is minimum. Determine the sets of nodes belonging to the two subgraphs, respectively.
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Determine the Laplacian matrix for the graph.
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If the normalized graph cut Ncut method is used to partition this graph into two subgraphs, determine the sets of nodes belonging to the two subgraphs, respectively. Hint: You may use the Matlab function "eig" to solve the generalized eigenvalue decomposition problem after you determine the matrices boldsymbolL and boldsymbolD as specified in the lecture notes
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With the partition in Q obtain the cut cost and the normalized cut value.
marks Q: Graph Cut marks
Figure shows a weighted undirected graph GV E with the set of vertices denoted as V and the set of edges denoted as E The weights of the edges are marked in the figure. Q: Graph Cut marks
Figure shows a weighted undirected graph GV E with the set of vertices denoted as V and the set of edges denoted as E The weights of the edges are marked in the figure. Figure The weighted undirected graph for Q
Partition the graph into two subgraphs so that the cut cost is minimum. Determine the sets of nodes belonging to the two subgraphs, respectively.
marks
Determine the Laplacian matrix for the graph.
marks
If the normalized graph cut Ncut method is used to partition this graph into two subgraphs, determine the sets of nodes belonging to the two subgraphs, respectively. Hint: You may use the Matlab function "eig" to solve the generalized eigenvalue decomposition problem after you determine the matrices boldsymbolL and boldsymbolD as specified in the lecture notes
marks
With the partition in Q obtain the cut cost and the normalized cut value.
marks
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