Digital records are clustered and assigned unique individual identity across a plurality of data sources. Each record contains one or more tagged common properties, which belongs to an underlying identifiable entity. A special parameterized metric distance is calculated for all pairs of records. With adjustment of the metric parameters, the records are clustered based on a predetermined distance threshold. Based on the clustered records, the underlying identity associated with the records can be resolved.