Sentence examples for clustering setting from inspiring English sources
The phrase 'clustering setting' is correct and usable in written English
You can use it whenever you are referring to a group of things that have similar characteristics and are being studied or evaluated together. For example, “The researchers compared four different clustering settings to assess the accuracy of the model.”
The method determines the distance function and clustering setting that result in an optimal agreement with selected reference data.
To retrieve the C-terminal 15-amino acid TamB sequences, the full-length sequences were clustered using the uclust program with a clustering setting of id -0.90; the resulting centroids were then used to retrieve the most C-terminal 15-amino acid sequences from each protein, and were used as input for logo formation.
Results have shown that major advantages with respect to the corresponding centralized clustering setting are obtained in terms of runtime behavior, although clustering solutions can still be accurate with a moderately low number of nodes in the network.
In a semi-supervised clustering setting, a small amount of labeled data is available to aid the unsupervised clustering process.
Using the same K-means clustering setting, we further separated ES and NP datasets into different H3K4me2 binding patterns in the extended TSS region.
HMM-based models for SNP arrays introduced in Colella et al. (2007) and Scharpf et al. (2008) will be investigated for extension to the clustering setting using the HMM-Mix framework introduced here.
Next, clustered set partitioning in hierarchical trees (C-SPIHT) is adopted to cluster SPIHT output bits so that the resultant bit-clusters have distinct BES.
Our strategy results in preconditioned systems that have nearly optimal eigenvalue distribution, which consists of a tightly clustered set together with a small number of outliers.
This method does not use similarities within the larger set, but only the manageable smaller clustered set.
Such reference clustering sets at large scale are scarce, if available at all.
The clustering framework consists of (a) three reference clustering sets, (b) a clustering algorithm and (c) a performance evaluation method.
