Theoremadvanced
NP-hardness of k-means
Also called k-means is NP-hard.
Optimal k-means clustering is NP-hard, even for k = 2 in high dimension.
Optimal k-means clustering is NP-hard, even for k = 2 in high dimension.
About this page
The build computes these levels from the evidence in the repository. Each row says what the next level needs. Read what the levels mean.
| Ladder | Level | What the next level needs |
|---|---|---|
| Human proof | H0 no proof |
|
| Lean | L0 no Lean part |
|
| Visual | V0 none |
|
| Writing | W0 stub |
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