k-Means NANI: An Improved Clustering Algorithm for Molecular Dynamics Simulations
One of the key challenges of -means clustering is the seed selection or the initial centroid estimation since the clustering result depends heavily on this choice. Alternatives such as -means++ have mitigated this limitation by estimating the centroids using an empirical probability distribution. Ho...
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| Published in: | Journal of chemical theory and computation Vol. 20; no. 13; p. 5583 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
09.07.2024
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| ISSN: | 1549-9626, 1549-9626 |
| Online Access: | Get more information |
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