Spine classification based on kernel density estimation
Type
Requires
Interaction Level
License/Openness
Description
We propose to use a kernel density estimation (KDE) based approach for classification. This non-parametric approach intrinsically provides the likelihood of membership for each class in a principled manner.
The implementation was used in Ghani2016.
Any papers using this code should cite Ghani2016 accordingly.
The software has been tested under Matlab R2013b.
Entry Curator
Post date
02/13/2017 - 16:13
Last modified
09/12/2017 - 19:59