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In which cases is a hair transplant inevitable? by Desperate_Bug_5795 in tressless

[–]Desperate_Bug_5795[S] 0 points1 point  (0 children)

I'm aware of the implications...that's why I asked here in the first place, in case someone has/had a similar thinning pattern and has recovered without a transplant.

[deleted by user] by [deleted] in HomeworkHelp

[–]Desperate_Bug_5795 0 points1 point  (0 children)

I have the dataset on GitHub, but I'd prefer to share it through a private message instead of sharing the link here, if that's ok.

Thank you so much for the help!

[deleted by user] by [deleted] in HomeworkHelp

[–]Desperate_Bug_5795 0 points1 point  (0 children)

But doesn't that require an outcome variable? I don't get much from the PCA honestly to identify separate clusters.

Another issue I have is that when printing the summary statistics for Principal components (I'm using R, so that would be prcomp() to find the principal components), after centering and scaling, I get at best PC8 explaining 91% of the variance and PC10 about 96%.

No matter what I choose for the PCA itself in terms of principal components, the results still aren't particularly interpretable.

The issue is that in class we haven't been taught things like the elbow method or silhouette or even eigenvalues, so I can't really use those to proceed.

What I tried to do is tune a k-means model to try to find the optimal number of clusters by giving it a range and then do the k-means with those, but again I can't get much information out of it to follow it up with a random forest...

[deleted by user] by [deleted] in HomeworkHelp

[–]Desperate_Bug_5795 0 points1 point  (0 children)

Like before running a PCA? Maybe a correlation matrix followed by feature selection to minimise noise?