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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 l(1) norm or Manhattan distances. We argue that the generalisation of Ward’s linkage method to incorpor...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5235383/ https://www.ncbi.nlm.nih.gov/pubmed/28085891 http://dx.doi.org/10.1371/journal.pone.0168288 |