What is a cluster? – Definition from TechTarget (2024)

FAQs

What is a cluster? – Definition from TechTarget? ›

Clusters are typically defined as collections or groups of items with similar or different characteristics. The group or collection of items constitutes a cluster.

a number of things of the same kind, growing or held together; a bunch: a cluster of grapes. a group of things or persons close together: There was a cluster of tourists at the gate.

Defining Tech Clusters

In addition to these traditional dimensions, we define “tech” clusters to be locations where new products (be they goods or services) and production processes are created that impact multiple parts of the economy.

Clustering is the task of dividing the unlabeled data or data points into different clusters such that similar data points fall in the same cluster than those which differ from the others. In simple words, the aim of the clustering process is to segregate groups with similar traits and assign them into clusters.

A sub-group of data which shares similar characteristics and is significantly different to other clusters in a database, usually defined by the statistical technique of cluster analysis.

An example of cluster sampling would be a survey conducted by a company to better understand the preferences and needs of their customers. The company could divide its customer base into clusters based on age, gender, location, etc., and then select a random sample from each cluster for further analysis.

Clusters are typically defined as collections or groups of items with similar or different characteristics. The group or collection of items constitutes a cluster.

The goal of clustering is to find distinct groups or “clusters” within a data set. Using a machine language algorithm, the tool creates groups where items in a similar group will, in general, have similar characteristics to each other. A few of the popular clustering techniques include: K-Means Clustering, and.

Clustering is used to identify groups of similar objects in datasets with two or more variable quantities. In practice, this data may be collected from marketing, biomedical, or geospatial databases, among many other places.

Some examples of game console clusters are Sony PlayStation clusters and Microsoft Xbox clusters. Another example of consumer game product is the Nvidia Tesla Personal Supercomputer workstation, which uses multiple graphics accelerator processor chips.

What is clustering explained simply? ›

In clustering, the task is to divide the population into several groups in such a way that the data points in the same groups are more similar to each other than the data points in other groups. In short, it is a collection of objects based on their similarities and dissimilarities.

Grouping unlabeled examples is called clustering. As the examples are unlabeled, clustering relies on unsupervised machine learning. If the examples are labeled, then clustering becomes classification.

There are several methods of unsupervised learning, but clustering is far and away the most commonly used unsupervised learning technique, and will be the focus of this article. Clustering refers to the process of automatically grouping together data points with similar characteristics and assigning them to “clusters.”

A cluster is a group of inter-connected computers or hosts that work together to support applications and middleware (e.g. databases). In a cluster, each computer is referred to as a “node”. Unlike grid computers, where each node performs a different task, computer clusters assign the same task to each node.

What is a database cluster? Database clustering is the process of connecting more than one single database instance or server to your system. In most common database clusters, multiple database instances are usually managed by a single database server called the master.

A very general synonym is group (or, perhaps more precisely, grouping). The word clutch can also refer to a group or bunch of things. Cluster can also be used as a verb meaning to form into such a group. Synonyms are assemble, gather, and the verb sense of group.

"Clustering is the process of grouping data into classes or cluster so that objects within a cluster have high similarity in comparison to one another, but are very dissimilar to objects in other clusters." -cluster = collection of data objects that are similar to each other.

A distinct grouping of neighbouring values in a distribution of a numerical variable that occur noticeably more often than values on each side of these neighbouring values.

Based on observation and theoretical models, many stars are born in clusters — groups of ten or more stars that were formed from the same interstellar cloud. The large globular clusters found orbiting galaxies may have hundreds of thousands or millions of stars, including some of the oldest stars yet observed.