k-mean Clustering and its real usecase in the security domain.

The k-mean clustering is one of the oldest and most commonly used clustering Algorithms. The simplicity of its implementation is great starting point for new ML enthusiasts

What is Clustering?

What is k-means?

  • k centroids: Centroids for each of the k clusters identified from the dataset.
  • Complete dataset labeled to ensure each data point is assigned to one of the clusters.

Where can I apply k-means?

Some of usecases in the Security domain.

Insurance fraud detection

Cyber-Profiling criminals

Open for any queries and suggestions.





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