In a preliminary study we demonstrated how this acoustic wave can be engineered to increase in power by using a larger cluster.
Facebook processed 14.6 billion images using a large computing cluster to identify and tag these population centers. .
However, the experiments described above with n=8 and a sample size of S=50,000 are already pushing current computational limits, even when using a large computer cluster.
To tune regularization weights in lasso, group lasso and the LL approach, we conducted thorough 10-fold CV on training data (i.e. not using the test data) using a large computer cluster.
Otherwise, using a large distance parameter in the single clustering process, highly gross clusters would have been achieved, losing all information about the granular content of the points that provide optical flow in the image.
Interestingly, unsupervised clustering analysis using a large number of tumors revealed that KRAS mutation was not clustered with any of the 16 methylation markers.
Dimension reduction techniques have focused, broadly speaking, on deriving good prediction using a large set of covariates, or on clustering approaches.
An experimental performance comparison was carried out against the traditional relational data model implemented in both MySQL Cluster and MongoDB, using a large publicly available transcriptomic data set taken from NCBI GEO concerning Multiple Myeloma.
Using these values, a large cluster corresponding to the previously defined subfamilies B, C, E, G, I, J, K, remained inter-connected.
The theoretical simulations use a large finite cluster and the initial physisorption energy of both alcohols is calculated.
