Mixed Euclidean Distance (Distance Metrics)
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
Find more posts tagged with
Sort by:
1 - 3 of
31
It is worth quota the full comment in the code of this class:
Euclidean 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.
Euclidean 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.
Quote the Java class: