Exact(2)
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].
Similar(58)
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.
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.
Moreover, it is hard for system developers to define the similarity of data popularity so as to partition data items into disks.
In MKL, different types of input data are encoded into kernel matrices, which quantify the similarity of data objects.
These measures were used to judge the quality and similarity of data from the various RNA sample size groups.
Then the similarity of data can be obtained by comparing the experimental in vivo level of MT with that of the physiological characteristics.
As such, one of the strengths of this study is its similarity of data collection in the pregnant and referent group.
Specific assumptions about the similarity of data from different streams were necessary in order to compare prevalences, as has been discussed.
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