What is the “data similarity” clustering process?

Using our automated “data similarity analysis” all documents are organized algorithmically by actual content into proposed clusters, and reviewers assess the clusters for classification relevance, privilege or other purposes. This approach allows us to group similar content rapidly, associating documents in a common context. Initial decisions on inclusion and associating to various issues or a taxonomy can be made on a cluster by cluster...