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Breathing K-Means

Data Skeptic

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Clustering Algorithms

There's certainly a lot of good work going on in cameans right now. I like your suggestion for a standardized date is set. Are there any formats of data that might be adversarial to your approach, or a situation where you wouldn't want to apply breathing camines? In general, clustering algorisms work in high dimensional spaces. And if you use euclidean distances, then you are obviously depending on the scale of the various axes. So scaling can change results quite a bit. and uniometric in these spaces.

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