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Given the additional insights into data structure provided by our approach, we hope that the simplicity of our method will make the integration of cluster validation approaches a more mainstream part of the cluster analysis procedure.
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Major interest is currently given to the integration of clusters of virtualization servers, also referred to as 'cloudlets', into the access network to allow higher performance and reliability in the access to mobile edge computing services.
Distance-angle decoupling approximation was used in the integration of the cluster integrals to derive a simple equation for the second virial coefficient.
Overall, this is an impressive result indicating that the techniques in our procedure (spectral clustering, information integration, determination of cluster number, and finally functional coherence assessment) successfully revealed the majority of the truly coherent genes even at relatively high levels of noise.
According to the number of clusters N obtained after the integration of the clustering operator, the SA creates N cluster agents (CAs) preparing the passage to the next step of the global algorithm.
Integration of consensus clustering with semi-supervised clustering improved performance as compared to using consensus clustering or semi-supervised clustering separately.
InCHlib is a browser independent JavaScript library that facilitates the uncluttered visualization, powerful exploration and easy web integration of the cluster heatmap.
Thus, we developed InCHlib, a free browser independent JavaScript library that facilitates the visualization, exploration and web integration of the cluster heatmap.
Instead, deletion of provincial hubs disturbs the functional integration of the cluster to which they belong, which then renders the remaining network less segregated.
Fig. 10 Coarse projective integration of double-cluster states (dotted lines in blue and black colors), compared against the direct full integration (solid lines in the same colors).
We start the equation-free coarse-grained analysis by integrating the double-cluster states in time, using a forward Euler coarse projective integration method [40] (which does not differ conceptually from the coarse integration of single-cluster states).
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