diff --git a/img/quickstart-example/points_centers_path.png b/img/quickstart-example/points_centers_path.png new file mode 100644 index 0000000..bd801e5 Binary files /dev/null and b/img/quickstart-example/points_centers_path.png differ diff --git a/quickstart/example.markdown b/quickstart/example.markdown index 21a6669..4a24418 100644 --- a/quickstart/example.markdown +++ b/quickstart/example.markdown @@ -39,6 +39,8 @@ KMeansDataGenerator [relative standard deviation is an interesting tuning parameter: it determines the closeness of the points to the centers.

The kmeans/ directory should now contain two files: centers and points.

+

If not then you could simply copy the two files using the path provided after running the java command.

+

Review Input Data

@@ -50,6 +52,8 @@ python2.7 plotPoints.py points points input Note: You might have to install matplotlib (python-matplotlib package on Ubuntu) to use the Python script. +In some cases even after having installed Matplotlib, you might still be promped with an ImportError No module named matplotlib.pyplot. Very often this is due to having many python versions existing independently on your system. (for instance, you might have installed python more than once each time using a different approach). A suggested solution would be to completely re-install Python. (that way the system would now have one clear location to access.) You may then proceed by installing the scientific Python environment: numpy (preferably first), scipy and matplotlib. + The following overview presents the impact of the different standard deviations on the input data.