cluster


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Related to cluster: Cluster analysis, Cluster Headaches

cluster around (someone or something)

1. To gather around someone or something. The kids clustered around the clown to watch him make balloon animals. Good luck getting any food with so many people clustered around the buffet! The students all clustered around the teacher to watch the demonstration.
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. I never saw the point in clustering a pile of decorative pillows around the one pillow you're actually going to sleep on.
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? Good luck getting any food with so many people clustered together at the buffet!
See also: cluster, together
Farlex Dictionary of Idioms. © 2024 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 ?
A lowest ID node among neighbors becomes a cluster separator.
At the step of settlement of code and TDMA schedule, each cluster separator reports its neighbor list as a member list to the sink.
Securing cluster formation and cluster head elections in wireless sensor networks
The ensembles are constructed to improve the cluster results.
The Incremental Semi-Supervised Cluster Ensemble (ISSCE) scheme is applied for the clustering process.
High dimensional data partitioning with an adaptive ensemble construction and analysis scheme
K-Means Cluster. The K-Means cluster is a hard partitioning algorithm proposed by Hartigan and Wong [28].
The K-Means cluster is an iterative process with K initial cluster centroids, and each datum is allocated to its nearest cluster centroid.
K-Means Cluster for Seismicity Partitioning and Geological Structure Interpretation, with Application to the Yongshaba Mine (China)
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.
At step 1, it calculated the average of attributed values for each object and then created range based on these average values for each cluster depending on total number of clusters.
AN AVERAGE-BASED APPROACH FOR INITIAL CENTROID SELECTION IN K-MEANS ALGORITHM
Based on the d-hop dominating set problem in graph theory, a distributed approach for cluster formation and cluster head selection is designed where vehicles in the d-hop dominating set are selected as the cluster head nodes.
Based on the distance in hops from an ordinary cluster member node to its cluster head, clustering approaches can be classified as 1-hop clustering or d-hop clustering.
Distributed and weighted clustering based on d-hop dominating set for vehicular networks
In Section III, the application of rough sets for cluster formation and cluster head selection is discussed in detail.
Rough set based fuzzy scheme for clustering and cluster head selection in VANET
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