You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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.
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
I initially posted the request at KernelDensity.jl (JuliaStats/KernelDensity.jl#11) but thought it might be better suited here.
I made a pull request: #43
The text was updated successfully, but these errors were encountered: