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Because it is far more generic and likely to be actually useful. Could you imagine someone doing K-means outside of a specific data science application?
by tus666 5y ago
Because it is far more generic and likely to be actually useful.
Could you imagine someone doing K-means outside of a specific data science application?
- magicalhippo 5y ago> Could you imagine someone doing K-means outside of a specific data science application? I implemented k-means clustering to reduce noise in a path tracer. I've never done a data science course or anything like that.