
CLUSTER Definition & Meaning - Merriam-Webster
Nov 4, 2011 · The meaning of CLUSTER is a number of similar things that occur together. How to use cluster in a sentence.
Cluster analysis - Wikipedia
Popular notions of clusters include groups with small distances between cluster members, dense areas of the data space, intervals or particular statistical distributions. Clustering can therefore …
CLUSTER | English meaning - Cambridge Dictionary
us / ˈklʌs·tər / a group of similar things growing or held together, or a group of people or things that are close together: dense clusters of delicate pink blossoms
CLUSTER Definition & Meaning | Dictionary.com
Cluster definition: a number of things of the same kind, growing or held together; a bunch.. See examples of CLUSTER used in a sentence.
What is a cluster? – Definition from TechTarget
Sep 19, 2022 · Clusters are extended beyond the data center into a cloud provider's resources, with a set of storage and compute nodes implemented on VMs. Clustering plays a key role in …
Cluster - definition of cluster by The Free Dictionary
a. a chemical compound or molecule containing groups of metal atoms joined by metal-to-metal bonds b. the group of linked metal atoms present vb to gather or be gathered in clusters [Old …
CLUSTER definition and meaning | Collins English Dictionary
A cluster of people or things is a small group of them close together. ...clusters of men in formal clothes.
cluster noun - Definition, pictures, pronunciation and usage notes ...
Definition of cluster noun in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
What is Cluster Computing? Cluster Computing Explained - AWS
Computing clusters were invented in the 1960s to provide parallel processing power, memory, and storage across multiple computers. Early clusters consisted of personal computers, …
Clustering in Machine Learning - GeeksforGeeks
Oct 30, 2025 · Clustering is an unsupervised machine learning technique that groups similar data points together into clusters based on their characteristics, without using any labeled data.