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.
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

clusterfuck

1. rude slang A chaotic situation rife with problems. Oh, the dinner party was a total clusterfuck—the roast was dry, the toilet overflowed, and everyone argued about politics.
2. vulgar slang A group sexual encounter. No, I've never taken part in a clusterfuck—have you?

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

cluster fuck

1. n. an act of group rape. (Also Charlie Foxtrot from the initials CF. Usually objectionable.) Look at her! She’s just asking for a cluster fuck.
2. n. any event as riotous as an act of group rape. (Figurative on sense 1 The same allusion as sense 1) This goddamn day has been one long cluster fuck!
See also: cluster, fuck
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.
The ensembles are constructed to improve the cluster results.
The Incremental Semi-Supervised Cluster Ensemble (ISSCE) scheme is applied for the clustering process.
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.
Then they may find out some wrongly assigned points in some cluster according to their domain knowledge or different analysis target.
In the PSOIB (Interactive Behavior with Changing the Cluster Directly), according to different analysis goals, users can choose the point which is divided into the wrong cluster and move it to the cluster which is thought to be the right cluster by the user.
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.
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.
In addition, to solve the problem of selection of the initial cluster centers, Bianchi et al.
Clustering is one of the important research topics in data mining, is the process of physical objects into multiple classes or clusters [3] [4].
In Section III, the application of rough sets for cluster formation and cluster head selection is discussed in detail.