Consistent with these data, we showed that in contrast to miRNAs from different clusters or non-clustered miRNAs, miRNAs from the same cluster tend to be co-expressed in the similar set of tissues (P-value < 2e-16, t.test).
As a result, in a clustered sample such as ours, selecting an additional prescription from the same cluster adds less new information than a random sample.
With success rates up to (99%), retrieving items from the same cluster is very well supported.
This is due to the fact that simultaneous transmissions from the same cluster can still be decoded.
The cohesiveness of a cluster is strong, i.e., most neighbors of a vehicle are from the same cluster.
Clustering, or positive correlation among responses, arises because responses and outcomes from the same cluster will usually be more similar than from different clusters.
A priori, it is not clear if retrieving multiple items from the same cluster represents an easier task than retrieving them from different clusters.
To generate positive samples, we randomly picked 1000 pairs of vertices, where the vertices in each pair come from the same cluster in the ground truth.
In this environment, LSI determines clusters of co-occurring keywords, sometimes, called concepts, so that a query which uses a particular keyword can then retrieve documents perhaps not containing this keyword, but containing other keywords from the same cluster.
Spatial clustering was assessed using the intracluster correlation coefficient, which may be interpreted as the expected correlation between any randomly selected pair of observations drawn from the same cluster.
We also found lower collaboration levels between actors in the network periphery with other organisations from the same cluster, denoting a clear top-down approach of the management in both networks.
