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JuliaStats / KernelDensity.jl

Kernel density estimators for Julia
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Feature Request: Mode(s) finding #11

Closed bdeonovic closed 9 years ago

bdeonovic commented 9 years ago

It would be great to have an implementation of an algorithm that finds modes of kernel density estimates. Most common algorithm is mean-shift algorithm:

Comaniciu, Dorin; Peter Meer (May 2002). "Mean Shift: A Robust Approach Toward Feature Space Analysis". IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE) 24 (5): 603–619. doi:10.1109/34.1000236.

A great short (2 page) guide to using mean shift algorithm for clustering http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/TUZEL1/MeanShift.pdf

Might be more appropriate for the Clustering.jl package.

simonbyrne commented 9 years ago

I think it would be useful to have in this package, though I don't really have time to do it myself in the near future. If you want to open a pull request, I'd be happy to look over it.

bdeonovic commented 9 years ago

I made a pull request for this at Clustering.jl (https://github.com/JuliaStats/Clustering.jl/pull/43). If people want to find peaks of a kernel density estimate they can use the code there.