LBM Outlier Predictor

Labels / Tag

• Predictor.
• OutlierDetection.

Prediction

Once a LBMOutlierPredictor is set it allow to predict a numerical score for a single or a collection of data.

Input

We consider a data point as Vector of numerical Vector. (todo Explain more precisely this data type)

• A single data point.
• A collection of data point.

Output

• A numerical value if the input is a single data point.

Interpretation

The score range is on $[0, \infty]$. Concerning outlier score, the smallest is the value, the better is the likelyhood to the clustering.