D-Clustering: A Kernel Based Graph Clustering Algorithm
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The weight of edges:
Page rank - The weight of the vertex divided by the forward link
D-Clustering - The weight of the edge decided by the kernel function ( End vertex as input, edge weight as function output)
The accuracy of the clustering result:
The degree of the convergence determines the accuracy
Issue 1:
Partial cluster overlap can emerge when shared cluster member is allowed.
Solution:
1. The liner search implementation is only suitable to problems when mutual class member is naturally unlikely to appear
2. Force a strong kernel testing criteria
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