Sentence examples for criterion cluster from inspiring English sources

Discrete Poisson mixtures with finite step distributions for the Poisson parameter θ have also been proposed, the interest being on creating clusters of data by grouping the observations on Y according to some criterion (cluster analysis).

A test signal is classified as a class e signal, if the majority of its test feature vectors (i.e., excluding the feature vectors assigned to common clusters) belong to class e. Cluster f → test, the cluster, which each test feature belongs to, is found as the nearest cluster based on ED criterion: Cluster f → test = arg Min i u = 1, …, K, f → test − C → u, = u f, (9).

To perform this calculation, for any new feature vector f → test, the following procedure is performed: Cluster f → test, the cluster, which each test feature belongs to, is found as the nearest cluster based on ED criterion: Cluster f → test = arg Min i u = 1, …, K, f → test − C → u, = u f, (9) where C → u is the center of each cluster constructed in the training stage.

In Figure  1, a collection of similar attributes was referred to as a cluster, and there were six clusters below the overall goal on the basis of the above important considerations: the activity cluster, the regulatory cluster, the market cluster, the alternative cluster, the criterion cluster, and the strategic cluster.

A wide range of methods have been proposed to detect HGT including phylogenetic analysis, and the detection of bias in nucleotide composition and codon usage, using naïve Bayes classifiers, correspondence analysis, or Akaike information criterion clustering [ 22].

Woodbury et al. [11] employed GoM analysis in a clinical setting to determine if the DSM-III-R personality disorder diagnostic criteria cluster into recognizable disorders.

Selection criteria: Cluster RCTs, RCTs and factorial trial designs that evaluate recruitment strategies aimed at increasing GP survey response rates.

%PF (% passed filter) indicates the percentage of clusters (sequenced polynucleotides) that fulfill default Illumina quality criteria; Cluster (PF) indicates the number of such clusters.

Second, if physicians have to recruit patients to each cluster according to selection criteria, cluster size distribution cannot a priori be known.

We reduce the potential for confounding by frequency matching on the basis of intervention siting criteria, cluster size, and time of enrolment.

The effect of different weighting factors of criteria clusters on the final solution is also discussed.