Cluster Analysis

Cluster analysis is a statistical technique used to group objects based on their similarity into groups or clusters. Cluster analysis organizes data into meaningful subgroups so that objects within each group are more similar to each other than to objects in other groups.

Benefits of Cluster Analysis:

Pattern Recognition: Cluster analysis helps identify inherent patterns or structures within data sets, aiding in understanding relationships between variables.
Data Compression: By summarizing large datasets into a smaller number of clusters, cluster analysis simplifies data interpretation and visualization.

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