- Dependendices : g++-4.9, gcc-4.9, cmake, libboost-all-dev, build-essential, libhdf5-serial-dev.
- git pull the dlib library in the home folder.
- Run
./utils/build.shto build all the binaries. aws_server.inistores all the information (such as datapath, saveResultsPath) required by the software.
- All the figures can be generated in ipython notebooks in 'figure' folder.
- The figures are generated from experiments - stored in 'experiments' folder.
- The stored experiments for dense datasets can be reproduced using the following lines of code
- K-nearest neigbhours :
./build/knn aws_server.ini start-index end-index(finds the k nearest points for points from start to end index) - K-means :
./build/kmeans aws_server.ini - Heirarchical:
./build/heirarchical aws_server.ini random-seed - Mutual Information Feature Selection:
./build/gasmmi aws_server.ini number-features sample-size random-seed
- K-nearest neigbhours :
- The stored experiments for sparse datasets can be reproduced using the following lines of code
- K-nearest neigbhours :
./build/knn10x aws_server.ini start-index end-index(finds the k nearest points for points from start to end index) - K-means :
./build/kmeans10x aws_server.ini
- K-nearest neigbhours :
