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Fix reference #624

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Oct 5, 2024
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Fix reference #624

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2 changes: 1 addition & 1 deletion inst/pages/clustering.qmd
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Expand Up @@ -136,7 +136,7 @@ dend |> set("labels_cex", 0.8) |> plot()
We can also visualize the clusters by projecting the data onto
two-dimensional
surface that captures the most variability in the data. In this example, we use
multi-dimensional scaling (MDS) (see [@sec-unsupervised-ordinantion]).
multi-dimensional scaling (MDS) (see [@sec-unsupervised-ordination]).

```{r hclust3}
library(scater)
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