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[skip e2e] improve annotation (#14074)

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Signed-off-by: Xieql <qianglong.xie@zilliz.com>
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Xieql 2021-12-23 15:25:13 +08:00 committed by GitHub
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internal/core/src/index/thirdparty/faiss/benchs/distributed_ondisk/README.md vendored
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@ -11,7 +11,7 @@ Hopefully, changing to another type of scheduler should be quite straightforward
## Distributed k-means
To cluster 500M vectors to 10M centroids, it is useful to have a distriubuted k-means implementation.
To cluster 500M vectors to 10M centroids, it is useful to have a distributed k-means implementation.
The distribution simply consists in splitting the training vectors across machines (servers) and have them do the assignment.
The master/client then synthesizes the results and updates the centroids.