“k-means clustering” Algorithm and its Real Use-Cases in Security Domain

How K-means Clustering Algorithm works?

  1. First we initialize k points, called means, randomly.
  2. We categorize each item to its closest mean and we update the mean’s coordinates, which are the averages of the items categorized in that mean so far.
  3. We repeat the process for a given number of iterations and at the end, we have our clusters.
clustering

K-means Algorithm Based Network Intrusion Detection System

CONCLUSION

--

--

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store