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Therefore, in the same or similar monitoring area, these nodes have great similarity of data collection.
Data deduplication schemes are based on either locality or similarity of data in the cluster.
Moreover, it is hard for system developers to define the similarity of data popularity so as to partition data items into disks.
The similarity-based deduplication scheme optimizes the elimination process by considering the locality and similarity of data points in both the intra-node and inter-node scenarios.
These measures were used to judge the quality and similarity of data from the various RNA sample size groups.
In MKL, different types of input data are encoded into kernel matrices, which quantify the similarity of data objects.
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Apart from remotely sensed images (which are often large datasets), spectral methods [21 23], which exploit pairwise similarities of data instances using eigendecomposition of a distance-based similarity matrix, are becoming popular for clustering, due to supporting empirical studies, their ability of extracting irregularly-shaped clusters, and their easy implementation [24].
Agglomerative clustering was implemented using the aggExCluster method in the apcluster R package with the mutual pairwise similarities of data vectors as negative distances [ 38].
The intra-sample replicates and the cross sample replicates for both 1D and MRM analysis showed a linearity that demonstrates the similarity of the data, indicating that the data for 1D and MRM are highly correlated.
We have confirmed the similarity of these data with information from hospital registers in Scotland.
BLAST similarity searches of data sets of protein sequences of Tetraodon nigroviridis revealed a total of 12422 significant hits (e-value: 10-50) when compared to the human genome (outgroup).
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