Projects authored by gavin brown.
FEAST provides implementations of common mutual information based filter feature selection algorithms (mim, mifs, mrmr, cmim, icap, jmi, disr, fcbf, etc), and an implementation of RELIEF. Written for C/C++ & Matlab.
Major refactoring of FEAST to improve speed and portability.
FEAST now clones the input data if it's floating point and discretises it to unsigned ints once in a single pass. This improves the speed by about 30%.
FEAST now has unsigned int entry points which avoid this discretisation and are much faster if the data is already categorical.
Added weighted feature selection algorithms to FEAST which can be used for cost-sensitive feature selection.
Added a Java API using JNI.
FEAST now returns the internal score for each feature according to the criterion. Available in all three APIs.
Rearranged the repository to make it easier to work with. Header files are now in `
include`, source in `
src`, the MATLAB API is in `
matlab/` and the Java API is in `
FEAST now compiles cleanly using `
-std=c89 -Wall -Werror`.