Abstract: A computer-implemented method for automated data clustering and analysis. A computer takes a database having multiple entries and transforms the entries in the database into a set of intrinsic attributes for each entry. The computer then receives data defining one or more clustering trials to be run on the attributes from the entries in the database, each clustering trial being defined by a set of relevant intrinsic and extrinsic attributes. The computer automatically identifies the most significant intrinsic and/or extrinsic attributes of the entries being clustered for each clustering trial, and runs a clustering script to cluster the attributes in accordance with the significant attributes. The computer forms hierarchical linkages of the profiles and automatically calculates the cophenetic correlation coefficient for the linkages in each clustering trial.