Clustering Technology

Making sense of a large document repository can be a daunting task.  Finding patterns, structure and similarities between documents can be useful in a wide variety of applications, including e-discovery, taxonomy creation/consolidation, fraud detection and content authoring management.

Focal Point has developed technology that is able to find similarities between documents, either at the level of the entire document, or the individual topics or concepts contained within it.  Having uncovered the similarities, the technology is then able to map the document set into a set of clusters, that is groups of self-similar documents.

Focal Point's clustering technology is fully integrated with our classification engine, and available as part of the Document Analysis SDK.