8. A computer-implemented method comprising: clustering hierarchical database records into a first set of clusters having corresponding first cluster identifications (IDs), wherein each hierarchical database record corresponds to an entity representation, each hierarchical database record comprising a plurality of fields, each field configured to contain a field value, and each field value assigned a field value weight corresponding to a specificity of the field value in relation to all field values in a corresponding field of the hierarchical database records, the clustering based at least in part on determining similarity among corresponding field values of the hierarchical database records; determining highest compelling linkages among the hierarchical database records to identify at least one linked pair of mutually preferred records; receiving parent-child hierarchical relationship information for the hierarchical database records; re-clustering at least a portion of the hierarchical database records into a second set of clusters having corresponding second cluster IDs, the re-clustering based at least in part on the received parent-child hierarchical relationship information; and outputting hierarchical database record information, based at least in part on the re-clustering.
8. A computer-implemented method comprising: clustering hierarchical database records into a first set of clusters having corresponding first cluster identifications (IDs), wherein each hierarchical database record corresponds to an entity representation, each hierarchical database record comprising a plurality of fields, each field configured to contain a field value, and each field value assigned a field value weight corresponding to a specificity of the field value in relation to all field values in a corresponding field of the hierarchical database records, the clustering based at least in part on determining similarity among corresponding field values of the hierarchical database records; determining highest compelling linkages among the hierarchical database records to identify at least one linked pair of mutually preferred records; receiving parent-child hierarchical relationship information for the hierarchical database records; re-clustering at least a portion of the hierarchical database records into a second set of clusters having corresponding second cluster IDs, the re-clustering based at least in part on the received parent-child hierarchical relationship information; and outputting hierarchical database record information, based at least in part on the re-clustering. 9. The method of claim 8 , wherein determining the similarity among the corresponding field values of the hierarchical database records comprises: assigning a hyperspace attribute to each hierarchical database record, wherein the hyperspace attribute corresponding to two hierarchical database records is correlated with a similarity of the corresponding field values of the two hierarchical database records; determining membership of each hierarchical database record in a plurality of hyperspace clusters based at least in part on the hyperspace attributes; assigning, to each record, a cluster ID and a match value reflecting a likelihood that the record is a member of a particular hyperspace cluster; and linking related records based at least in part on the cluster ID and the match value.