Sentence examples for each cluster share from inspiring English sources

In this paper, we adapt the structure of GSA for solving the data clustering problem, the problem of grouping data into clusters such that the data in each cluster share a high degree of similarity while being very dissimilar to data from other clusters.

Similarly, Bayesian analysis of three microsatellite loci revealed four genetic clusters, with each cluster corresponding to one of the four common mtDNA haplotypes (i.e., individuals in each cluster share the same mtDNA genotype).

Segal et al. (2005) proposed a Bayesian network model that explicitly partitions the variables into clusters, so that the variables in each cluster share the same parents in the network and the same conditional probability distribution.

All patients in each cluster shared both environmental risk factors and family relationship; included in the clusters were 6 cohabitating couples.

DNA fingerprint profiling of the 65 isolates identified four major clusters, with strains grouped in each cluster sharing high levels of similarity (80-100%).

CA was used to discover a system of organizing variables where each cluster shares properties in common and thus to make it cognitively easier to predict mutual properties based on an overall group membership.

While each cluster shares a distinct resistance mutation for isoniazid, mapping of other drug-resistance mutations onto a phylogenetic tree constructed from single nucleotide polymorphisms shows that resistance mutations to many drugs have arisen multiple times independently within each cluster of isolates.

Cluster analysis methods such as k-means, hierarchical clustering, and Gaussian mixture models aim to find a partition of objects so that the objects on each subset (cluster) share some common traits.

Phylogenetic analysis of Arabidopsis and rice rhomboid-like proteins reveals presence of several gene clusters that share low pairwise sequence identity with each other, though the members within a cluster share significant sequence similarity with each other.

Within each cluster, sequences share 99 100% identity, and E. equinus, E. vogeli and E. oligarthrus sequences fall outside them, although the position of E. equinus is not very well supported by bootstrap re-sampling.

Results: We present a novel algorithm that calculates clustered alignments; the method finds clusters of genes such that the genes within a cluster share a common alignment, but each cluster is aligned independently of the others.