Agglomerative hierarchical clustering Using Ward Algorithm and Correlation Coefficient as a Distance Metric

Abdullah

2013 7 4

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Dear colleagues,

In the Matlab help page for agglomerative clustering (<http://www.mathworks.com/help/stats/linkage.html)>, it says that ward method appropriate (only) with euclidean distance.

I am wondering if other distance metrics (like correlation coefficient or cosine similarity measure) can be used. Correlation coefficient and cosine measures gave me better results when I used them instead of the euclidean distance.

So, I am wondering why it was written in the matlab documentation page that it works only with euclidean distance. I found some other research that use ward with correlation coefficient and some other people asking the same quesiton: http://r.789695.n4.nabble.com/hierarchical-clustering-with-pearson-s-coefficient-td4662788.html

Regards,