I am working on a project where I have 20+ classes/groups. Each of these groups perform certain text searches. I am looking for specific keywords example 'code' which is an anomaly. The challenge is that the term 'code' is very common in a few groups and not so common in other groups. I tried using K-means model so as to do grouping per class. While the groups are being generated well, I was hoping that the anomalous group would be the one with the least number of points and this would have the keyword 'code'. But I don't have success yet. Any suggestions would be appreciated.

Data format:

class search_text
A discuss
A code
B time
A code
A code
B code
A code
Z code

Assuming there are 50k+ records and Z has only 1 occurrence of code. That should be the output.

  • $\begingroup$ Are classes/groups known up front? $\endgroup$
    – Jon Nordby
    Jan 16 at 21:07
  • $\begingroup$ @JonNordby, Yes! $\endgroup$ Jan 17 at 21:39


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