
Cluster - Group sharing for friends & family. The antidote to social …
Cluster gives you a private space to share photos and memories with the people you choose, away from social media. Make your own groups and share pics, videos, comments, and chat!
CLUSTER Definition & Meaning - Merriam-Webster
The meaning of CLUSTER is a number of similar things that occur together. How to use cluster in a sentence.
Cluster analysis - Wikipedia
Cluster analysis refers to a family of algorithms and tasks rather than one specific algorithm. It can be achieved by various algorithms that differ significantly in their understanding of what constitutes a …
Cluster — Definition, Formula & Examples
A cluster is a group of data values that are bunched closely together, separated from other values in the data set. When you look at a graph, clusters appear as concentrations of dots or bars in one area.
CLUSTER | English meaning - Cambridge Dictionary
CLUSTER definition: 1. a group of similar things that are close together, sometimes surrounding something: 2. a group…. Learn more.
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.
CLUSTER - Meaning & Translations | Collins English Dictionary
Discover the word "CLUSTER" in English: definitions, translations, synonyms, pronunciations, examples, and grammar insights - all in one complete resource.
Cluster - Definition, Meaning & Synonyms | Vocabulary.com
A cluster is a small group of people or things. When you and your friends huddle awkwardly around the snack table at a party, whispering and trying to muster enough nerve to hit the dance floor, you’ve …
An Overview of Cluster Computing - GeeksforGeeks
Jul 23, 2025 · Cluster computing is a collection of tightly or loosely connected computers that work together so that they act as a single entity. The connected computers execute operations all together …
What is clustering? | IBM
One of the most commonly used centroid-based clustering techniques is the k-means clustering algorithm. K-means assumes that the center of each cluster defines the cluster using a distance …