Hierarchical Cluster Analysis (ChemoSpec) – 02

[This article was first published on NIR-Quimiometría, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

This is the second derivative spectra of the raw spectra we have sawn in the post: “Hierarchical Cluster Analysis (ChemoSpec) – 01”. In that post we saw some clusters, but the distance between the clusters was not high, so it was clear that some math treatment should be applied to remove baseline shifts and to increase the differences between the clusters as much as possible.
Well, let’s see now the HCA in this case:
Well, now it looks much better, Olive samples in one cluster, and sunflower oil samples in another. We can see also two sub-cluster in the sunflower samples. Looking to the spectra we can see some reasons for that more clearly now. That will be treated in the next post.

To leave a comment for the author, please follow the link and comment on their blog: NIR-Quimiometría.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)