Placeholder for SISAP 2020 paper

Yu et al. Using a Set of Triangle Inequalities to Accelerate K-means Clustering, SISAP 2020

##File structures:

.
├── Fast-elkan                       # Placeholder for outputs
│   ├── Makefile          
│   ├── Readme.md    # Detailed readme for the framework
|   ├── src                # source code (*.cpp)
│   └── include        # header (*.h)
├── datasets                    # Placeholder for dataset files    
├── datapreprocessing.py     # Preprocessing python script
└── README.md

The preprocessing python script works for the following tested datasets at least:

• USPS: [https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass.html#usps]
• Skin_nonskin: [https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html#skin_nonskin]
• gas sensor: [https://archive.ics.uci.edu/ml/datasets/Gas+Sensor+Array+Drift+Dataset+at+Different+Concentrations]
  • (semi-auto) please manually remove semicolon in the raw data

Usage of preprocessing script:

Usage: python dataPreprocessing.py <flag> <path/of/inputDataset> <path/of/outputDataset> <name>, flag 0 for LIBSVM; 1 for UCI repository 
for example: python dataPreprocessing.py 0 datasets/ datasets/ skin_nonskin