From 74a540f0e0bc2414ba4b4396fca3ffffb28df8dc Mon Sep 17 00:00:00 2001 From: "Corey J. Nolet" Date: Fri, 4 Oct 2024 11:35:48 -0400 Subject: [PATCH] MOre improvements --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 3fd5617e9..7a0861238 100755 --- a/README.md +++ b/README.md @@ -31,7 +31,7 @@ Vector search is an information retrieval method that has been growing in popula Vector search is also used in _data mining and machine learning_ tasks and comprises an important step in many _clustering_ and _visualization_ algorithms like [UMAP](https://arxiv.org/abs/2008.00325), [t-SNE](https://lvdmaaten.github.io/tsne/), K-means, and [HDBSCAN](https://hdbscan.readthedocs.io/en/latest/how_hdbscan_works.html). -Finally, faster vector search enables interactions between dense vectors and graphs. Converting a pile of dense vectors into nearest neighbors graphs unlocks the entire world of graph algorithms, such as those found in [GraphBLAS](https://graphblas.org/) and [cuGraph](https://github.com/rapidsai/cugraph). +Finally, faster vector search enables interactions between dense vectors and graphs. Converting a pile of dense vectors into nearest neighbors graphs unlocks the entire world of graph analysis algorithms, such as those found in [GraphBLAS](https://graphblas.org/) and [cuGraph](https://github.com/rapidsai/cugraph). Below are some common use-cases for vector search