question about k-means clustering metric choice

In this documentation of K-means clustering: https://www.mathworks.com/help/stats/k-means-clustering.html

I would like to ask why the choice of metric is 'cityblock'. May I know what the context of the dataset is and why 'cityblock' is the appropriate choice of metric? Also, I tried to use the ordinary euclidean metric, but returned an error.

Please send your insights. Thanks

[Walter Roberson]

I do not encounter any errors if I consistently change cityblock to sqeuclidean

https://www.mathworks.com/help/stats/sample-data-sets.html?searchHighlight=kmeansdata just describes it as 4 dimensional clustered data.

[cgo]

found it. I typed 'euclidean' instead of 'sqeuclidean'. Thanks

Answer 1

[Bernhard Suhm]

If you have any further questions, follow up. Otherwise, can you kindly "accept" Walter's answer?

[Walter Roberson]

I did not post an Answer, so it would not have been possible to Accept it ;-)