datacamp / datacamp/rdocumentation-2.0
What algorithm is used to calculate distance between points by default ?
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Description
Hello,
I have read the doc https://www.rdocumentation.org/packages/mclust/versions/6.1/topics/hc
and I am still wondering, in a default call for hc() like so:
learned_structure <- hc(imputed_df, score = "pnal")
or even simpler like so:
learned_structure <- hc(imputed_df)
what is used by default to create the cluster and find the distance between points?
is it the Euclidian distance? the Manhattan distance? the maximum distance? or something else ??
kind regards,
BM
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
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Research direction
Start with the linked mclust hc() documentation and compare its stated defaults with the behavior of the example calls in the issue. Verify how the default clustering and distance settings are described, then update the relevant RDocumentation entry so the default is explicit and easy to find.
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Assessment
- Tech stack
- r
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100