cluster

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Related to clusters: Consonant clusters
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cluster around (someone or something)

1. To gather around someone or something. The kids clustered around the clown to watch him make balloon animals.
2. To position someone or something around someone or something else. In this usage, a noun or pronoun is used between "cluster" and "around." Mom clustered the kids around the clown so that they could all see him make balloon animals. Now we need to cluster the purple flowers around the white ones.
See also: around, cluster

cluster together

To gather or bunch together. The kids clustered together to watch the clown make balloon animals. Why are all of our nicest Christmas ornaments clustered together on one side of the tree?
See also: cluster, together
Farlex Dictionary of Idioms. © 2022 Farlex, Inc, all rights reserved.

cluster around someone or something

[for a group of people or things] to bunch together, surrounding someone or something. The birds clustered around the chimney top to keep warm. The kids clustered around the police officer.
See also: around, cluster

cluster someone or something around someone or something

to bunch people or things together around someone or something. She clustered the cups around the punch bowl. Karen clustered the children around the fire.
See also: around, cluster

cluster together

to bunch or group together. All of the bats clustered together on the roof of the cave. The children clustered together in small groups here and there on the playground.
See also: cluster, together
McGraw-Hill Dictionary of American Idioms and Phrasal Verbs. © 2002 by The McGraw-Hill Companies, Inc.
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References in periodicals archive ?
* Average number of clusters: it is computed by counting the number of generated clusters at each run and averaging the numbers.
* Average number of members per cluster: it is computed by dividing the sum of all members by the number of clusters at each run and averaging the fractions.
Securing cluster formation and cluster head elections in wireless sensor networks
From January 1, 2019, new amendments to the Tax Code of Azerbaijan entered into force, according to which, small- and medium-sized businesses received various benefits, with clusters being one of them.
According to the Tax Code, members of clusters for seven years are exempt from income and corporate taxes from the part of their income that goes to capital expenditures.
Criteria for members of SME clusters to be defined in Azerbaijan
Separation Index (SI) is another cluster validity measure that utilizes cluster centroids to measure the distance between clusters, as well as between points in a cluster to their respective cluster centroid.
It is defined as the ratio of average within-cluster variance to the square of the minimum pairwise distance between clusters:
High dimensional data partitioning with an adaptive ensemble construction and analysis scheme
The KL index produces the traces of the within-clusters matrices for two consecutive clusters, and the higher the KL index, the better the cluster results [30].
WK is the sum of all point-to-point distances of observations within each cluster, summed across all clusters.
K-Means Cluster for Seismicity Partitioning and Geological Structure Interpretation, with Application to the Yongshaba Mine (China)
Partitioning methods [8] aim to organize data into a number of distinct clusters, such that the total deviation of the data points from the cluster centers is minimized.
Some methods adjust the clustering result by modifying the parameters of the clustering algorithm, such as the number of target clusters and the density or distance threshold for partitioning the clusters as well as the weights of each attribute when computing the similarity between each data point.
Interactive K-Means Clustering Method Based on User Behavior for Different Analysis Target in Medicine
In these methods, the whole data is separated into clusters, such that each data point has one cluster and each cluster has at least one data point.
AN AVERAGE-BASED APPROACH FOR INITIAL CENTROID SELECTION IN K-MEANS ALGORITHM
Constructing and maintaining stable clusters in high mobility environments is crucial for communication continuity.
Distributed and weighted clustering based on d-hop dominating set for vehicular networks
In iterative clustering algorithms, choosing initial cluster centers is extremely important as it has a direct impact on the formation of final clusters.
Nonuniform Sparse Data Clustering Cascade Algorithm Based on Dynamic Cumulative Entropy
Several works have been carried out in the formation of clusters and selection of cluster heads.
Rough set based fuzzy scheme for clustering and cluster head selection in VANET
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