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fixes #31

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I've used euclidean metric instead of taxicab as I feel it makes more sense (taxicab has bizzare unintuitive effects for points far from the centroids).
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drevicko 2017-05-29 12:06:44 +01:00 committed by GitHub
parent 8c70433312
commit 8d56a0b630
1 changed files with 1 additions and 1 deletions
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senpy/plugins/conversion/centroids.py
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@ -52,7 +52,7 @@ class CentroidConversion(EmotionConversionPlugin):
dimensions = list(self.centroids.values())[0] dimensions = list(self.centroids.values())[0]
def distance(e1, e2): def distance(e1, e2):
return sum((e1[k] - e2.get(k, 0)) for k in dimensions) return sum((e1[k] - e2.get(k, 0)**2) for k in dimensions)
emotion = '' emotion = ''
mindistance = 10000000000000000000000.0 mindistance = 10000000000000000000000.0