Rare card
K-means clustering
- Value
- 50 W
- Attack
- 272
- Defence
- 218
- Players
- 0
k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean (cluster centers or cluster centroid).
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