docs: align k-means wording

Signed-off-by: Jérôme Benoit <jerome.benoit@piment-noir.org>

diff --git a/README.md b/README.md
index fd576b6547284bc8900fa0c7882c2f416c590df7..13e90a262682f43089551c8f91348391a983a5fe 100644 (file)
--- 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.                                                                                                                                                                                                                                                                                                                                                |