In the realm of data analysis, cluster analysis stands as a powerful technique that uncovers hidden patterns and relationships within a dataset.

By grouping similar data points into clusters, this method helps researchers, analysts, and businesses gain valuable insights and make informed decisions.

Understanding Cluster Analysis

Cluster analysis is a data exploration technique that aims to identify groups, or clusters, within a dataset based on the similarities between data points.

The algorithm examines the characteristics and attributes of each data point, seeking to maximize similarity within clusters while minimizing similarity between different clusters.

Through this process, cluster analysis enables the discovery of inherent patterns and structures in the data.

Categorized in: