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Exact(25)
By removing single clusters the number of remaining clusters is (|X|-1).
And there are not any limitations for the division of the clusters, the number of nodes in each cluster and the connections between nodes.
There are no limitations for the division of the clusters, the number of nodes in each cluster and the connections between nodes.
With regard to Ag n V (n = 7 12) clusters, the number of isomers increases rapidly with the increase of cluster size.
We can see that to address the dense deployment scenario for higher traffic, each macro cell area is covered by several small cell clusters, the number of which can be 1, 2, or 4 [15].
Since the identification of representative clusters is based on comparing the membership of each class in the clusters, the number of normal and abnormal feature vectors should be the same in order to perform a fair comparison.
Similar(35)
It depends on elements such as the size of the "cluster" (the number of stories pertaining to a given event).
In k-means clustering, the number of clusters has to be decided in advance.
For each cluster, the number of infested trees is estimated and the infesting insect species, recorded.
For proper clustering, the number of features should be sufficiently large.
After decision tree-based state clustering, the number of unique tied states was reduced to 2,392.
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