Nearest-neighbor chain algorithm: Difference between revisions

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increasing link information, agglomerative vs divisive hierarchical clustering
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In the theory of [[cluster analysis]], the '''nearest-neighbor chain algorithm''' is a method that can be used to perform several types of agglomerative [[agglomerative hierarchical clustering]], using an amount of memory that is linear in the number of points to be clustered and an amount of time linear in the number of distinct distances between pairs of points.<ref name="murtagh-hmds">{{citation
| last = Murtagh | first = Fionn
| editor1-last = Abello | editor1-first = James M.