tupol

Type Members

1. class XKMeans extends KMeans with XKMeansParams

   

   Extended KMeans algorithm.

   Extended KMeans algorithm.

   Calculates the following: - cluster (prediction); already available in the default KMeans algorithm. - distance to cluster - probability - probability by feature (dimension)

   Note: The probability by feature algorithm is based on the ideas presented in https://github.com/tupol/naive-ml; https://github.com/tupol/naive-ml/blob/master/src/main/scala/tupol/ml/clustering/KMeansGaussian.scala.

   Note: The probability by feature algorithm can be rendered useless if a feature/dimension reduction algorithm is used before applying XKMeans2, as we will be unable to track back the exact feature which contributed to a record being classified as an anomaly.

   Note: This is by far not a perfect solution yet, as the general assumption is that the data follows a normal distribution, which is not always the case.

   Annotations

   @Experimental()

2. class XKMeansModel extends KMeansModel with XKMeansParams