Sentence examples for terms of clustering from inspiring English sources

Exact(24)

Experiments on several data sets demonstrate the superiority of the proposed algorithm over other state-of-the-art methods in terms of clustering accuracy and stability.

Overall, the results corroborate the perspective that having fusion hierarchies operating on well-chosen subsets of data partitions is a fine strategy that may yield significant gains in terms of clustering robustness.

Data analysis in terms of clustering theory allowed us to conclude that a single mechanism is likely involved in the overall surface phenomena in which the mass transport is either a nonsteady state surface diffusion or an interface transfer along step edges as rate-determining step.

This can be explained in terms of clustering effects and localized exciton states induced by Bi incorporation.

One study showed that repeating the execution of the algorithm with randomly selected points presented better results in terms of clustering error and robustness (Pena et al. 1999).

To this end, AEI accuracy is measured in terms of clustering purity, efficiently, and Jaccard scores defined in Equations 13-155).

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Similar(36)

Assuming that the clustering technique is applied recursively until no more that a pre-specified number of documents exist in a cluster, the user may browse document to an arbitrary degree of specificity in terms of clustered subject area.

Results demonstrate the superiority of the proposed algorithm, over both synthetic and real data sets, in terms of goodness of clustering.

They prove that clusters defined in terms of cluster density stop spreading and that, in fact, they are the only thing that stops spreading.

This provides an effective means for the optimization of clustering criterion, where an objective function can be illustrated in terms of cluster's center.

Experiments involving four synthetic and two real datasets are conducted to show the performance of the introduced clustering algorithm in terms of cluster purity and normalized mutual information.

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