apply knn over kmeans clustering
3 views (last 30 days)
Show older comments
In indoor localization if i did clustering a dataset by k-means clustering algorithm then is it possible to apply knn algorithm on that clusters to find positioning error.
0 Comments
Answers (1)
Image Analyst
on 9 Aug 2020
No, I don't think so. kmeans() assigns a class to every point with no guidance at all. knn assigns a class based on a reference set that you pass it. What would you pass in for the reference set? The same set you used for kmeans()? If so, then there would be no error whatsoever because knn would simply assign each point to the same class that kmeans() did!
You would need to explain this better so that we know your thought process.
6 Comments
Image Analyst
on 10 Aug 2020
OK, but I still don't know what your classes represent. How many classes did you say you have? Like 3 for low strength, medium strength, and high strength router signal at the test point? Attach your workbook if you want us to use it.
For what it's worth, I'm attaching a demo where I determine the location of an explosion based on the value (time) at certain points. Kind of like if you wanted to locate each router based on the signal strengths at each of the 80 points.
See Also
Categories
Find more on Statistics and Machine Learning Toolbox in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!