Synopsis
Calculates a similarity measure from the given data (attribute based).
Description
This class represents an operator that creates a similarity measure based on an ExampleSet.
Input
- example set: expects: ExampleSet, expects: ExampleSet
Output
- similarity:
- example set:
Parameters
- measure types: The measure type
- mixed measure: Select measure
- nominal measure: Select measure
- numerical measure: Select measure
- divergence: Select divergence
- kernel type: The kernel type
- kernel gamma: The kernel parameter gamma.
- kernel sigma1: The kernel parameter sigma1.
- kernel sigma2: The kernel parameter sigma2.
- kernel sigma3: The kernel parameter sigma3.
- kernel degree: The kernel parameter degree.
- kernel shift: The kernel parameter shift.
- kernel a: The kernel parameter a.
- kernel b: The kernel parameter b.