Exact(1)
The resulting superedges are weighted by the number of edges between the initial clusters.
Similar(59)
The initial clusters have 7 clusters, (pi _7=lbrace C_1,ldotsdots,C_7rbrace).
Hence, stabilizing the initial clusters instead of random data vectors for the initial clusters helps us to obtain the clusters of better quality.
Altogether 1,056 sequences were added to the initial clusters.
After re-examination, the initial clusters were merged into categories.
We employ the tight clustering method together with biological annotation to obtain the initial clusters.
Generating the initial cluster.
Refinement of the initial cluster.
Define the mean values as the initial clustering centers.
PSO is used to optimize the initial clustering centers.
Figure 7 Flowchart of the initial cluster processing.
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