Editing Cluster analysis (section)

===[[World Wide Web]]===
; Social network analysis
:In the study of [[social network]]s, clustering may be used to recognize [[communities]] within large groups of people.
; Search result grouping
:In the process of intelligent grouping of the files and websites, clustering may be used to create a more relevant set of search results compared to normal search engines like [[Google]]{{citation needed|date=July 2018}}. There are currently a number of web-based clustering tools such as [[Clusty]]. It also may be used to return a more comprehensive set of results in cases where a search term could refer to vastly different things. Each distinct use of the term corresponds to a unique cluster of results, allowing a ranking algorithm to return comprehensive results by picking the top result from each cluster.<ref name="mitpressjournals.org">{{Cite journal |doi = 10.1162/COLI_a_00148|title = Clustering and Diversifying Web Search Results with Graph-Based Word Sense Induction|journal = Computational Linguistics|volume = 39|issue = 3|pages = 709–754|year = 2013|last1 = Di Marco|first1 = Antonio|last2 = Navigli|first2 = Roberto|s2cid = 1775181}}</ref>
; Slippy map optimization
:[[Flickr]]'s map of photos and other map sites use clustering to reduce the number of markers on a map.{{citation needed|date=May 2023}} This makes it both faster and reduces the amount of visual clutter.