Generalising Ward's Method for Use with Manhattan Distances.

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 metho...

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Bibliographic Details
Main Authors: Trudie Strauss, Michael Johan von Maltitz
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5235383?pdf=render