# Mixed Euclidean Distance (Distance Metrics)

Pinguicula
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**12**Contributor II
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Hi,

Rapidminer offers "mixed Euclidean Distance" (MED) as distance measure. In contrast to the other distance measures

I can not find MED as technical term in the text books and internet ressources available to me. I' d like to ask where I can find a reference which explains the computaion of this metric. Or does it refer to Euclidean Distance for datasets with mixed discrete and continuous variables?

Best

Norbert

Rapidminer offers "mixed Euclidean Distance" (MED) as distance measure. In contrast to the other distance measures

I can not find MED as technical term in the text books and internet ressources available to me. I' d like to ask where I can find a reference which explains the computaion of this metric. Or does it refer to Euclidean Distance for datasets with mixed discrete and continuous variables?

Best

Norbert

0

## Answers

347MavenQuote the Java class:

1Contributor IEuclidean distance for numerical and nominal values. For nomimal values, a distance of one is accounted if both values are not the same. Note: In most cases, you must normalize the numerical values, to obtain sound results.

So I understand, that it DOES NOT calculate normalized distance by default. If I am wrong, let me know.

1,869UnicornAlmost all distance measures do not normalize the data automatically.

Best regards,

Marius