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Anomaly Detection Tool Test Cases

Revision as of 18:41, 26 February 2015 by Paul.roubekas.org (Talk | contribs) (Test Case 2)

Test Case 1

  • No. of clusters: 2
  • No. of Data points: 1000
  • Data points are easily separable into 2 clusters as depicted in Fig.1. Kmeans clustering algorithm can easily identify two distinct clusters in this case.

Test Case 2

  • No. of clusters: 2
  • No. of data points: 1000
  • Data points are not easily separable into 2 clusters as depicted in Fig.2.

Test Case 3 LOF Test case

Test Case 4 100 data points

Test Case 5 100 data points

Test Case 6 LOF Test case: 100 data points

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