merve HF staff commited on
Commit
135ab42
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1 Parent(s): d4a6bc7

Update app.py

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  1. app.py +1 -1
app.py CHANGED
@@ -155,7 +155,7 @@ theme = gr.themes.Monochrome(
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  with gr.Blocks(title=title, theme=theme) as demo:
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  gr.Markdown(f"## {title}")
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- gr.Markdown("[Scikit-learn Example](https://scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_digits.html#sphx-glr-auto-examples-cluster-plot-kmeans-digits-py)")
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  gr.Markdown("In this example we compare the various initialization strategies for K-means in terms of runtime and quality of the results.")
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  gr.Markdown("As the ground truth is known here, we also apply different cluster quality metrics to judge the goodness of fit of the cluster labels to the ground truth.")
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  gr.Markdown("Cluster quality metrics evaluated (see [Clustering performance evaluation](https://scikit-learn.org/stable/modules/clustering.html#clustering-evaluation) \
 
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  with gr.Blocks(title=title, theme=theme) as demo:
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  gr.Markdown(f"## {title}")
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+ gr.Markdown("This demo is based on this [scikit-learn example](https://scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_digits.html#sphx-glr-auto-examples-cluster-plot-kmeans-digits-py)")
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  gr.Markdown("In this example we compare the various initialization strategies for K-means in terms of runtime and quality of the results.")
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  gr.Markdown("As the ground truth is known here, we also apply different cluster quality metrics to judge the goodness of fit of the cluster labels to the ground truth.")
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  gr.Markdown("Cluster quality metrics evaluated (see [Clustering performance evaluation](https://scikit-learn.org/stable/modules/clustering.html#clustering-evaluation) \