AWS sagemaker documentation change
Summary
Updated citation link for web-scale k-means clustering reference
Security assessment
The change only updates a reference link from a PDF on CiteSeerX to an ACM Digital Library article. This is a routine documentation maintenance update with no security implications.
Diff
diff --git a/sagemaker/latest/dg/k-means.md b/sagemaker/latest/dg/k-means.md index 7e05198e3..d2b86329c 100644 --- a//sagemaker/latest/dg/k-means.md +++ b//sagemaker/latest/dg/k-means.md @@ -11 +11 @@ K-means is an unsupervised learning algorithm. It attempts to find discrete grou -Amazon SageMaker AI uses a modified version of the web-scale k-means clustering algorithm. Compared with the original version of the algorithm, the version used by Amazon SageMaker AI is more accurate. Like the original algorithm, it scales to massive datasets and delivers improvements in training time. To do this, the version used by Amazon SageMaker AI streams mini-batches (small, random subsets) of the training data. For more information about mini-batch k-means, see [Web-scale k-means Clustering](https://citeseerx.ist.psu.edu/document?repid=rep1type=pdf&doi=b452a856a3e3d4d37b1de837996aa6813bedfdcf). +Amazon SageMaker AI uses a modified version of the web-scale k-means clustering algorithm. Compared with the original version of the algorithm, the version used by Amazon SageMaker AI is more accurate. Like the original algorithm, it scales to massive datasets and delivers improvements in training time. To do this, the version used by Amazon SageMaker AI streams mini-batches (small, random subsets) of the training data. For more information about mini-batch k-means, see [Web-scale k-means Clustering](https://dl.acm.org/doi/10.1145/1772690.1772862).