Document clustering: Difference between revisions

Revision as of 14:59, 22 December 2016

Revision as of 07:25, 17 February 2017

Line 50:

== Clustering v. Classifying ==

Clustering algorithms in computational text analysis groups documents into grouping a set of text what are called subsets or ''clusters'' where the algorithm's goal is to create internally coherent clusters that are distinct from one another.<ref>{{Cite web|url=http://nlp.stanford.edu/IR-book/|title=Introduction to Information Retrieval|website=nlp.stanford.edu|pages=349|access-date=2016-05-03}}</ref> Classification on the other hand, is a form of [[supervised learning]] where the features of the documents are used to predict the "type" of documents.

== References ==