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 …

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.

Aug 25, 2025 · Clustering is an unsupervised machine learning technique designed to group unlabeled examples based on their similarity to each other. (If the examples are labeled, this …

Hierarchical clustering is a general family of clustering algorithms that build nested clusters by merging or splitting them successively. This hierarchy of clusters is represented as a tree (or …

Clustering is an unsupervised machine learning algorithm that organizes and classifies different objects, data points, or observations into groups or clusters based on similarities or patterns.

Clustering or cluster analysis is an unsupervised learning method used in machine learning and data analysis that organizes your data so that data points in the same group (or cluster) are …

Sep 6, 2024 · Clustering is a popular unsupervised learning technique that is designed to group objects or observations together based on their similarities. Clustering has a lot of useful …

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, …

Cluster analysis is the process of organizing a set of objects into groups (clusters) such that objects within a cluster are more similar to each other than to those in other clusters. Similarity …

Clustering is completely determined by initial distance (or dissimilarity) matrix and the choice of dissimilarity between clusters. The number of clusters is not fixed: each cut of the dendrogram …