Clustering tendency

Clustering tendency refers to whether a dataset naturally groups into distinct clusters or segments. It helps determine if there are meaningful patterns or structures, such as groups of similar data points, before applying clustering algorithms. Recognizing this tendency is important because it indicates whether clustering will produce useful insights or if the data is too random and lacks clear groupings. Essentially, it’s about assessing if the data has an inherent organization that can be uncovered through clustering techniques.