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k-means Cluster Shape Implications
We present a novel justification why k-means clusters should be (hyper)ball-shaped ones. We show that the clusters must be ball-shaped to attain motion-consistency. If clusters are ball-shaped, one can derive conditions under which two clusters attain the global optimum of k-means. We show further t...
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| Pubblicato in: | Artificial Intelligence Applications and Innovations |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7256414/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-49161-1_10 |
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