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Exact(13)
Using that summary, the robot identifies clusters of documents that use the same words.
In other words, the selectivity with which clusters of documents accept or reject new members can be controlled.
Yenta is then ready to go out and find other copies of Yenta that have identified clusters of documents that share the same top keywords.
One will allow users to identify patterns across clusters of documents, such as common phrases and recurring names of people and entities.
Self-organization architectures can auto-classify large numbers (several thousands) of text documents by identifying clusters of documents in which members share common fingerprint patterns.
Aspect based regression tree clustering [18] produces clusters of documents as leaf nodes, where every leaf node can be associated with a news topic or a news category [21] or a news issue [22, 23].
Similar(47)
Several block diagonal clustering algorithms have proven successful in identifying co-clusters of documents and words.
By contrast, harnessing the cluster of documents produced for "attractive nuisance" may turn out to be the most efficient approach to total recall and the desired degree of relevance.
After clustering, the topic detection for every cluster of documents is needed [4].
Here interpreting clustering of documents to represent model cluster and bayesian probabilistic approach of assignment of document to a model cluster as described in [143] are relevant.
The clustering of documents based on shared aspect or topic or event or sub-topic, or sub-event has been described in [18, 92 94].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com