From fe9f92de90805bd97f6b0ef424dff68e64b97356 Mon Sep 17 00:00:00 2001 From: =?utf8?q?J=C3=A9r=C3=B4me=20Benoit?= Date: Wed, 24 Dec 2025 14:54:55 +0100 Subject: [PATCH] docs: align k-means wording MIME-Version: 1.0 Content-Type: text/plain; charset=utf8 Content-Transfer-Encoding: 8bit Signed-off-by: Jérôme Benoit --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index fd576b6..13e90a2 100644 --- a/README.md +++ b/README.md @@ -93,7 +93,7 @@ docker compose up -d --build | freqai.feature_parameters.label_p_order | `None` | float \| None | p-order used by `minkowski` / `power_mean` (optional). | | freqai.feature_parameters.label_medoid_metric | `euclidean` | string | Metric used with `medoid`. | | freqai.feature_parameters.label_kmeans_metric | `euclidean` | string | Metric used for k-means clustering. | -| freqai.feature_parameters.label_kmeans_selection | `min` | enum {`min`,`medoid`} | Strategy to select trial in the best kmeans cluster. | +| freqai.feature_parameters.label_kmeans_selection | `min` | enum {`min`,`medoid`} | Strategy to select trial in the best k-means cluster. | | freqai.feature_parameters.label_kmedoids_metric | `euclidean` | string | Metric used for k-medoids clustering. | | freqai.feature_parameters.label_kmedoids_selection | `min` | enum {`min`,`medoid`} | Strategy to select trial in the best k-medoids cluster. | | freqai.feature_parameters.label_knn_metric | `minkowski` | string | Distance metric for KNN. | -- 2.43.0