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A_demo_of_the_Spectral_Co-Clustering_algorithm

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eswardivi commited on Apr 4, 2023

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70dce49

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1 Parent(s): 23c1681

Update app.py

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app.py +1 -1

app.py CHANGED Viewed

@@ -64,7 +64,7 @@ def model_fit(n_cluster, noise, n_rows, n_cols, n_clusters, svd_method):
     )
     fit_data = data[np.argsort(model.row_labels_)]
     fit_data = fit_data[:, np.argsort(model.column_labels_)].T
-    fig = px.imshow(fit_data, title="After biclustering; rearranged to show biclusters")
     return fig_original, fig_shuffled, fig

     )
     fit_data = data[np.argsort(model.row_labels_)]
     fit_data = fit_data[:, np.argsort(model.column_labels_)].T
+    fig = px.imshow(fit_data, title="After Co-Clustering")
     return fig_original, fig_shuffled, fig