Commit d25ac316 authored by He Guanlin's avatar He Guanlin
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Update README.md

parent 86031243
......@@ -18,7 +18,7 @@ Our CUDA C code does not generate any synthetic data, so users should specify th
The synthetic dataset used in our papers below is too large (about 1.8GB) to be loaded here. So we provide the Synthetic_Data_Generator.py instead. Since the generator uses the random function, the dataset generated each time will have different values but will always keep the same distribution.
## Execution
Before execution, recompile the code by entering the "make" command if any change has been made to the code.
Before execution, recompile the code by entering the `make` command if any change has been made to the code.
Then you can run the executable file "kmeans" with several arguments:
......@@ -27,7 +27,7 @@ Then you can run the executable file "kmeans" with several arguments:
- -max-iters <int>: maximal number of iterations (default: 200)
- -tol <float>: tolerance, i.e. convergence criterion (default: 1.0E-4)
Example:
Examples:
- k-means on CPU:
```
./kmeans -t CPU -cpu-nt 20
......
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