Cluster analysis

Cluster analysis
Machine learning cluster analysis

Cluster analysis refers to unsupervised machine learning techniques for grouping unlabeled data points. Key aspects:

Major approaches include:

Challenges include determining optimal number of clusters, handling outliers, and defining appropriate similarity measures for data types.

Cluster analysis provides crucial tools for exploratory data analysis and unsupervised machine learning. It has widespread applications in data mining, pattern recognition, image analysis, and more.

See also: