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In this case we need to distinguish between two different categories of clusters: (i) Category i which has only one cluster, i.e. C i.
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Consensus sequences around the TSSs generated using the Web-LOGO algorithm (Crooks et al., 2004 ) for the different categories of TSS clusters (TSSCs) identified in this study: mRNAs (A ), cryptic unstable transcripts (CUTs) (B ), Xrn1-sensitive transcripts (XUTs) (C ), stable unannotated transcripts (SUTs) (D ), 'intergenic' transcripts (E ), A intragenic (F ) and B intragenic (G ) transcripts.
This is mainly motivated by the fact that those algorithms are good representatives of the two main different categories of stream clustering algorithms.
In the future, we want to test those measures on different categories of advanced stream clustering algorithms like adaptive hierarchical density-based ones (e.g., HAStream [15]) or projected/subspace ones (e.g., PreDeConStream [24] and SubClusTree [14]).
The empirical results indicate that spatial clusters of high ratings tend to be differently distributed between different categories of Yelp venues.
It presents the numbers of clone pairs and clone clusters detected for different categories of clone types by our proposed tool CloneManager.
However, the top three clusters were quite similar between the different categories of participants, suggesting a high level of agreement between participants on the most important clusters.
The clustering algorithm analyzes different categories of career readiness data to predict a hypothetical career practice and bring learners with similar career patterns together into the same cluster.
In some cases, the differences in genetic expression patterns elucidated by microarray analysis are significant enough for clustering algorithms to distinguish different categories of human heart failure.
Gene clustering in bacterial genomes is observed in two different categories of genes, persistent genes and rare genes, and the mechanisms leading to their clustering are not identical.
In addition, a K-mean clustering was performed, using R, on differentially expressed contigs, in order to cluster them based on similarity of expression between the different categories of pearl oyster gonads.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com