1. A method for indexing and classifying related information, comprising: using a computing system, measuring the similarity of or distance between a plurality of individual resources using a hybrid distance measurement, at least some of the plurality of individual resources being of different types and originating from different data sources; clustering the plurality of individual resources into a plurality of clusters using the hybrid distance measurement; and storing the plurality of clusters in both a structured and an unstructured data repository on the computing system or another computing system, such that the structured and the unstructured data repositories contain essentially the same information.
1. A method for indexing and classifying related information, comprising: using a computing system, measuring the similarity of or distance between a plurality of individual resources using a hybrid distance measurement, at least some of the plurality of individual resources being of different types and originating from different data sources; clustering the plurality of individual resources into a plurality of clusters using the hybrid distance measurement; and storing the plurality of clusters in both a structured and an unstructured data repository on the computing system or another computing system, such that the structured and the unstructured data repositories contain essentially the same information. 4. The method of claim 1 , wherein the structured data repository comprises a relational database.