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 …

Jun 18, 2025 · Cluster analysis is a data analysis technique that groups together data points that are similar to each other within a data set. Here’s how it’s useful, its applications, types, algorithms, tips …

Cluster analysis is a data exploration (mining) tool for dividing a multivariate dataset into “natural” clusters (groups). We use the methods to explore whether previously undefined clusters (groups) …

Cluster analysis is a statistical technique in which algorithms group a set of objects or data points based on their similarity. The result of cluster analysis is a set of clusters, each distinct from the others but …

Nov 6, 2025 · Explore cluster analysis, including its types, methods, and examples. Learn how cluster analysis is used to group data points into meaningful clusters.

Sep 11, 2025 · Cluster analysis is a statistical method that groups data points with similar characteristics into distinct clusters. It’s an unsupervised learning method, which means the algorithm finds patterns …

Cluster analysis is a statistical technique widely used in research and practical applications to group objects, data points, or cases into clusters based on their similarities.

Oct 8, 2025 · Cluster analysis, in statistics, set of tools and algorithms that is used to classify different objects into groups in such a way that the similarity between two objects is maximal if they belong to …

Jul 23, 2025 · Cluster analysis is also known as clustering, which groups similar data points forming clusters. The goal is to ensure that data points within a cluster are more similar to each other than to …

Aug 24, 2020 · Cluster analysis can be a powerful data-mining tool for any organisation or research project. Here we breakdown what it is, when it’s useful and why – with plenty of examples along the …