Data Mining Methods(2)

Bilal Hussain Malik

                                                       Data Mining Methods

                                                              Clustering

Clustering distinguishes similar data points without pre-assigned labels using algorithms like k-means. Clustering is utilized by retailers for market segmentation based on similarities in purchasing behavior. In contrast to classification, clustering discovers natural groupings in data and is therefore handy for exploratory analysis. Considerations encompass the discovery of optimal numbers of clusters and the choice of suitable distance measures. Applications vary from anomaly detection to image segmentation and social network analysis. Despite being powerful for pattern identification, results can be subjective and initial parameter sensitive.