How to do K-Means clustering on data that goes beyond 3 dimensions?
4 views (last 30 days)
Show older comments
I have done K-means clustering before but always on datasets that could be plotted in a 2D or 3D space. Right now I have a 35*6 matrix and need to make clusters based on those 6 dimensions. How can I program these clusters and still be able to retrieve the data to know which data point is in which group? Since I don't have any idea how to cluster past these 3 dimensions I don't have written any script yet, that's why I am only looking for some guidance and direction to understand how to do it and begin writing.
Thanks in advance, I really appreciate the help!
2 Comments
Kelly Kearney
on 23 Oct 2021
The process is exactly the same as for 2 or 3 dimensions:
idx = kmeans(rand(35,6), 6);
Visualizing the results may be more complicated...
Answers (0)
See Also
Products
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!