AWS neptune-analytics documentation change
Summary
Fixed typos ('weakly-conected' to 'weakly-connected', 'tha' to 'that') in algorithm descriptions
Security assessment
Changes are purely grammatical/spelling corrections with no security context. No security features or vulnerabilities are mentioned.
Diff
diff --git a/neptune-analytics/latest/userguide/clustering-algorithms.md b/neptune-analytics/latest/userguide/clustering-algorithms.md index c7590f74e..6d19a496d 100644 --- a//neptune-analytics/latest/userguide/clustering-algorithms.md +++ b//neptune-analytics/latest/userguide/clustering-algorithms.md @@ -15 +15 @@ Neptune Analytics supports these community detection algorithms: -Identifying weakly-conected components helps in understanding the overall connectivity and structure of the graph. Weakly-connected components can be used in transportation networks to identify disconnected regions that may require improved connectivity, and in social networks to find isolated groups of users with limited interactions, and in webpage analysis to pinpoint sections with low accessibility. +Identifying weakly-connected components helps in understanding the overall connectivity and structure of the graph. Weakly-connected components can be used in transportation networks to identify disconnected regions that may require improved connectivity, and in social networks to find isolated groups of users with limited interactions, and in webpage analysis to pinpoint sections with low accessibility. @@ -21 +21 @@ Identifying weakly-conected components helps in understanding the overall connec - * [labelPropagation.mutate](./label-propagation-mutate.html) – Label Propagation Algorithm (LPA) is an algorithm tha assigns labels to nodes based on the consensus of their neighboring nodes, making it useful for identifying groups. Label propagation can be applied in social networks to find groups, and in identity management to identify households, and in recommendation systems to group similar products for personalized suggestions. It can also be used in semi-supervised machine learning for data classification. + * [labelPropagation.mutate](./label-propagation-mutate.html) – Label Propagation Algorithm (LPA) is an algorithm that assigns labels to nodes based on the consensus of their neighboring nodes, making it useful for identifying groups. Label propagation can be applied in social networks to find groups, and in identity management to identify households, and in recommendation systems to group similar products for personalized suggestions. It can also be used in semi-supervised machine learning for data classification.