Clusters refer to groups or concentrations of data points that appear close together on a scatterplot or map. These clusters indicate patterns or similarities among those data points.
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Outliers: Outliers are individual data points that are significantly different from the rest of the dataset and may not belong to any cluster.
Clustering Analysis: Clustering analysis is a statistical technique used to identify and group similar data points into clusters based on their attributes or characteristics.
Density: Density refers to how closely packed or concentrated the data points are within a given area or region. High density indicates more clustering.