Categorical data clustering

Categorical data clustering refers to the technique of performing cluster analysis on categorical data, aiming to discover inherent structures and patterns within the data and group data objects with similar characteristics into the same cluster. This task enhances the accuracy and efficiency of data mining and machine learning applications by evaluating and comparing different clustering algorithms, and it is widely used in market segmentation, social network analysis, and other fields.