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In this paper, we proposed the WDCM (Weibull Distribution-based Clustering Method), a robust approach for clustering gene expression data, in which the gene expressions of individual genes are considered as the random variables following unique Weibull distributions.
Another similar approach for clustering CR networks is proposed in [10].
The first semiautomatic approach for clustering MIMO channel data was introduced in [21].
Here, we present a deterministic approach for clustering huge compound libraries based on all pairwise compound similarities.
This study presents a new approach for clustering harvest activities in time and space in long-term forest planning.
In this paper, we have proposed a novel approach for clustering data by using a self-organizing map.
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This paper presents an instruction scheduling and cluster assignment approach for clustered very long instruction words (VLIW) processors.
We investigate the accuracy of different similarity approaches for clustering over two million biomedical documents.
The PMRA and BM25 TA approaches have the highest values on the coherence and concentration metrics, and provide sufficient coverage (94%, Table 2) to make them the most attractive text-based approaches for clustering extremely large document sets.
We used two approaches for clustering analysis.
Molecular Complex Detection (Mcode; Bader and Hogue, 2003) is one of the first approaches for clustering interactomes, and greedily grows clusters from a seed node.
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