|  | ## Data to Similarity Data

#### Synopsis

Calculates distance or similarity between all given examples.

#### Description

This operator creates a new data set from the given one based on the specified similarity. The created data set is merely a view so that no memory problems should occur.

#### 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.

#### ExampleProcess