Orange: Distance Transformation
Sumber: https://docs.biolab.si//3/visual-programming/widgets/unsupervised/distancetransformation.html
Transforms distances in a dataset.
Inputs
Distances: distance matrix
Outputs
Distances: transformed distance matrix
The Distances Transformation widget is used for the normalization and inversion of distance matrices. The normalization of data is necessary to bring all the variables into proportion with one another.
../../_images/DistanceTransformation-stamped.png
Choose the type of Normalization:
No normalization
To interval [0, 1]
To interval [-1, 1]
Sigmoid function: 1/(1+exp(-X))
Choose the type of Inversion:
No inversion
-X
1 - X
max(X) - X
1/X
Produce a report.
After changing the settings, you need to click Apply to commit changes to other widgets. Alternatively, tick Apply automatically.
Example
In the snapshot below, you can see how transformation affects the distance matrix. We loaded the Iris dataset and calculated the distances between rows with the help of the Distances widget. In order to demonstrate how Distance Transformation affects the Distance Matrix, we created the workflow below and compared the transformed distance matrix with the “original” one.
../../_images/DistanceTransformation-Example.png