Sentence examples for clusters of dimensions from inspiring English sources
Table 6 Clusters of dimensions for machine-generated big data sources Cluster References Accuracy [38] Completeness, Significance [38] Consistency [38, 47] Trustworthiness [38] Freshness [38] Dimensions in italic are representative of the cluster.
Table 5 Clusters of dimensions for process-mediated big data sources Cluster References Accuracy, Reliability [12, 36, 37] Consistency [37] Redundancy [37] Spread, Value of the tail, Connectivity [10, 37] Copying [37] Freshness, Coverage [45] Dimensions in italic are representative of the cluster.
In the following, for each cluster of dimensions described above, we provide definitions for some selected dimensions and examples of possible metrics.
Hence, a general comment is that BS clusters of higher dimension should be employed if the backhaul infrastructure is able to handle it.
Iron rich structures are not always resolved by the beam and clusters of larger dimension are also observed.
We performed hierarchical clustering on each dimension of the matrix by using the Tanimoto coefficient (Tc) between binary vectors and then selected the major part in resultant clusters of each dimension for detailed analysis (Fig. 3 and Methods).
On one hand, the understanding of compact clusters in subsets of dimensions is challenging itself.
In summary, we can see that even for results with 4 clusters, the majority of dimensions are from the given set above.
Biclustering is the clustering of both dimensions in a single dataset (e.g. both genes and experiments in a gene expression dataset).
In addition, it has been found that the clustering of wellbeing dimensions is explained by one underlying common genetic effect (Bartels and Boomsma 2009).
In contrast, subspace clustering would further associate each cluster with a subset of dimensions, such that each cluster would contain data that are only similar in its associated subspace S ⊂ ℜ N. Subspace clustering can be further classified as disjoint or overlapping.
