DYNAMIC CLUSTERING
CAAT's powerful Dynamic Clustering is an automatic operation, using CAAT's conceptual analytics to identify and cluster documents that contain conceptually similar content. Dynamic clustering doesn't rely on previously identified topics or keywords. Instead, CAAT determines the conceptual content of each document in an index, then identifies which are conceptually similar, groups them together into clusters, and finally creates a name for each cluster that is representative of the documents contained in that cluster. In fact, CAAT will gain all the knowledge it needs to accurately identify conceptually similar documents and resultant clusters from the group of documents being indexed.
Dynamic clustering provides a number of variable settings for users, including controls to determine how tightly, versus how generally, documents are clustered, and also how many levels (i.e., sub-clusters) should be created based on conceptual content. There are a number of options for automatic title generation allowing users to control how CAAT identifies and names the clusters it creates.
CAAT's includes a collection of filters to optimize the text for processing. For example, remove header and footers that are repeated on every page but do not add value to process.
