Generalising Ward’s Method for Use with Manhattan Distances
Generalising Ward’s Method for Use with Manhattan Distances
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United States: Public Library of Science
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Language
English
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United States: Public Library of Science
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Contents
The claim that Ward's linkage algorithm in hierarchical clustering is limited to use with Euclidean distances is investigated. In this paper, Ward's clustering algorithm is generalised to use with l1 norm or Manhattan distances. We argue that the generalisation of Ward's linkage method to incorporate Manhattan distances is theoretically sound and p...
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Full title
Generalising Ward’s Method for Use with Manhattan Distances
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TN_cdi_plos_journals_1858297366
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1858297366
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0168288
