Skip to main content
Data Science

Return to Question

added label and code format
Source Link
Multivac
Multivac
  • 3.1k
  • 2
  • 9
  • 26

array([2, 3, 1, 0, 2, 0, 0, 3, 1, 3, 3, 3, 1, 3, 3, 1, 1, 3, 3, 1, 2, 0, 1, 1, 0, 1, 2, 3, 0, 2, 3, 2, 2, 1, 2, 3, 2, 0, 2, 2, 3, 3, 1, 2, 2, 1, 2, 3, 1, 3, 3, 3, 2, 3, 2, 0, 1, 1, 1, 1, 2, 2, 3, 2, 0, 0, 2, 3, 3, 0, 2, 2, 3, 3, 2, 0, 3, 0, 2, 3, 1, 0, 2, 2, 1, 2, 1, 3, 3, 3, 1, 1, 3, 1, 3, 0, 3, 3, 1, 3, 0, 2, 1, 2, 0, 3, 1, 2, 3, 3, 2, 2, 2, 0, 3, 3, 3, 2, 2, 3, 1, 2, 3, 2, 3, 1, 1, 0, 1, 3, 0, 2, 2, 1, 2, 1, 3, 0, 3, 0, 2, 2, 0, 3, 1, 1, 2, 3, 2, 1, 3, 1, 3, 3, 3, 3, 3, 3, 2, 0, 1, 0, 0, 2, 3, 2, 1, 3, 2, 3, 0, 3, 3, 2, 1, 3, 2, 3, 3, 2, 1, 2, 3, 3, 2, 3, 1, 2, 1, 2, 2, 1, 1, 3, 0, 2, 3, 3, 3, 3, 3, 3, 2, 0, 2, 1, 0, 2, 2, 2, 1, 0], dtype=int32)

array([2, 3, 1, 0, 2, 0, 0, 3, 1, 3, 3, 3, 1, 3, 3, 1, 1, 3, 3, 1, 2, 0,
       1, 1, 0, 1, 2, 3, 0, 2, 3, 2, 2, 1, 2, 3, 2, 0, 2, 2, 3, 3, 1, 2,
       2, 1, 2, 3, 1, 3, 3, 3, 2, 3, 2, 0, 1, 1, 1, 1, 2, 2, 3, 2, 0, 0,
       2, 3, 3, 0, 2, 2, 3, 3, 2, 0, 3, 0, 2, 3, 1, 0, 2, 2, 1, 2, 1, 3,
       3, 3, 1, 1, 3, 1, 3, 0, 3, 3, 1, 3, 0, 2, 1, 2, 0, 3, 1, 2, 3, 3,
       2, 2, 2, 0, 3, 3, 3, 2, 2, 3, 1, 2, 3, 2, 3, 1, 1, 0, 1, 3, 0, 2,
       2, 1, 2, 1, 3, 0, 3, 0, 2, 2, 0, 3, 1, 1, 2, 3, 2, 1, 3, 1, 3, 3,
       3, 3, 3, 3, 2, 0, 1, 0, 0, 2, 3, 2, 1, 3, 2, 3, 0, 3, 3, 2, 1, 3,
       2, 3, 3, 2, 1, 2, 3, 3, 2, 3, 1, 2, 1, 2, 2, 1, 1, 3, 0, 2, 3, 3,
       3, 3, 3, 3, 2, 0, 2, 1, 0, 2, 2, 2, 1, 0], dtype=int32)

array([2, 3, 1, 0, 2, 0, 0, 3, 1, 3, 3, 3, 1, 3, 3, 1, 1, 3, 3, 1, 2, 0, 1, 1, 0, 1, 2, 3, 0, 2, 3, 2, 2, 1, 2, 3, 2, 0, 2, 2, 3, 3, 1, 2, 2, 1, 2, 3, 1, 3, 3, 3, 2, 3, 2, 0, 1, 1, 1, 1, 2, 2, 3, 2, 0, 0, 2, 3, 3, 0, 2, 2, 3, 3, 2, 0, 3, 0, 2, 3, 1, 0, 2, 2, 1, 2, 1, 3, 3, 3, 1, 1, 3, 1, 3, 0, 3, 3, 1, 3, 0, 2, 1, 2, 0, 3, 1, 2, 3, 3, 2, 2, 2, 0, 3, 3, 3, 2, 2, 3, 1, 2, 3, 2, 3, 1, 1, 0, 1, 3, 0, 2, 2, 1, 2, 1, 3, 0, 3, 0, 2, 2, 0, 3, 1, 1, 2, 3, 2, 1, 3, 1, 3, 3, 3, 3, 3, 3, 2, 0, 1, 0, 0, 2, 3, 2, 1, 3, 2, 3, 0, 3, 3, 2, 1, 3, 2, 3, 3, 2, 1, 2, 3, 3, 2, 3, 1, 2, 1, 2, 2, 1, 1, 3, 0, 2, 3, 3, 3, 3, 3, 3, 2, 0, 2, 1, 0, 2, 2, 2, 1, 0], dtype=int32)

array([2, 3, 1, 0, 2, 0, 0, 3, 1, 3, 3, 3, 1, 3, 3, 1, 1, 3, 3, 1, 2, 0,
       1, 1, 0, 1, 2, 3, 0, 2, 3, 2, 2, 1, 2, 3, 2, 0, 2, 2, 3, 3, 1, 2,
       2, 1, 2, 3, 1, 3, 3, 3, 2, 3, 2, 0, 1, 1, 1, 1, 2, 2, 3, 2, 0, 0,
       2, 3, 3, 0, 2, 2, 3, 3, 2, 0, 3, 0, 2, 3, 1, 0, 2, 2, 1, 2, 1, 3,
       3, 3, 1, 1, 3, 1, 3, 0, 3, 3, 1, 3, 0, 2, 1, 2, 0, 3, 1, 2, 3, 3,
       2, 2, 2, 0, 3, 3, 3, 2, 2, 3, 1, 2, 3, 2, 3, 1, 1, 0, 1, 3, 0, 2,
       2, 1, 2, 1, 3, 0, 3, 0, 2, 2, 0, 3, 1, 1, 2, 3, 2, 1, 3, 1, 3, 3,
       3, 3, 3, 3, 2, 0, 1, 0, 0, 2, 3, 2, 1, 3, 2, 3, 0, 3, 3, 2, 1, 3,
       2, 3, 3, 2, 1, 2, 3, 3, 2, 3, 1, 2, 1, 2, 2, 1, 1, 3, 0, 2, 3, 3,
       3, 3, 3, 3, 2, 0, 2, 1, 0, 2, 2, 2, 1, 0], dtype=int32)
Incorrect info
Source Link
vojtak
vojtak
  • 241
  • 1
  • 2
  • 6

Since this is the output that I get, as you can see there is clearly a cluster with only one countrythree countries, when there is no such cluster predicted by the model.

This is the output of the predictions for clusters and it matches the visualizations by PCA:

array([2, 3, 1, 0, 2, 0, 0, 3, 1, 3, 3, 3, 1, 3, 3, 1, 1, 3, 3, 1, 2, 0, 1, 1, 0, 1, 2, 3, 0, 2, 3, 2, 2, 1, 2, 3, 2, 0, 2, 2, 3, 3, 1, 2, 2, 1, 2, 3, 1, 3, 3, 3, 2, 3, 2, 0, 1, 1, 1, 1, 2, 2, 3, 2, 0, 0, 2, 3, 3, 0, 2, 2, 3, 3, 2, 0, 3, 0, 2, 3, 1, 0, 2, 2, 1, 2, 1, 3, 3, 3, 1, 1, 3, 1, 3, 0, 3, 3, 1, 3, 0, 2, 1, 2, 0, 3, 1, 2, 3, 3, 2, 2, 2, 0, 3, 3, 3, 2, 2, 3, 1, 2, 3, 2, 3, 1, 1, 0, 1, 3, 0, 2, 2, 1, 2, 1, 3, 0, 3, 0, 2, 2, 0, 3, 1, 1, 2, 3, 2, 1, 3, 1, 3, 3, 3, 3, 3, 3, 2, 0, 1, 0, 0, 2, 3, 2, 1, 3, 2, 3, 0, 3, 3, 2, 1, 3, 2, 3, 3, 2, 1, 2, 3, 3, 2, 3, 1, 2, 1, 2, 2, 1, 1, 3, 0, 2, 3, 3, 3, 3, 3, 3, 2, 0, 2, 1, 0, 2, 2, 2, 1, 0], dtype=int32)

Since this is the output that I get, as you can see there is clearly a cluster with only one country, when there is no such cluster predicted by the model.

Since this is the output that I get, as you can see there is clearly a cluster with only three countries, when there is no such cluster predicted by the model.

This is the output of the predictions for clusters and it matches the visualizations by PCA:

array([2, 3, 1, 0, 2, 0, 0, 3, 1, 3, 3, 3, 1, 3, 3, 1, 1, 3, 3, 1, 2, 0, 1, 1, 0, 1, 2, 3, 0, 2, 3, 2, 2, 1, 2, 3, 2, 0, 2, 2, 3, 3, 1, 2, 2, 1, 2, 3, 1, 3, 3, 3, 2, 3, 2, 0, 1, 1, 1, 1, 2, 2, 3, 2, 0, 0, 2, 3, 3, 0, 2, 2, 3, 3, 2, 0, 3, 0, 2, 3, 1, 0, 2, 2, 1, 2, 1, 3, 3, 3, 1, 1, 3, 1, 3, 0, 3, 3, 1, 3, 0, 2, 1, 2, 0, 3, 1, 2, 3, 3, 2, 2, 2, 0, 3, 3, 3, 2, 2, 3, 1, 2, 3, 2, 3, 1, 1, 0, 1, 3, 0, 2, 2, 1, 2, 1, 3, 0, 3, 0, 2, 2, 0, 3, 1, 1, 2, 3, 2, 1, 3, 1, 3, 3, 3, 3, 3, 3, 2, 0, 1, 0, 0, 2, 3, 2, 1, 3, 2, 3, 0, 3, 3, 2, 1, 3, 2, 3, 3, 2, 1, 2, 3, 3, 2, 3, 1, 2, 1, 2, 2, 1, 1, 3, 0, 2, 3, 3, 3, 3, 3, 3, 2, 0, 2, 1, 0, 2, 2, 2, 1, 0], dtype=int32)

Source Link
vojtak
vojtak
  • 241
  • 1
  • 2
  • 6

Incorrect visualisation using Plotly

kmeans = KMeans(n_clusters=4)

model = kmeans.fit(europe_july)
pred = model.labels_
europe_july['cluster'] = pred

pca = PCA(n_components=2)
pca_model = pca.fit_transform(europe_july)
data_transform = pd.DataFrame(data = pca_model, columns = ['PCA1', 'PCA2'])
data_transform['Cluster'] = pred

plt.figure(figsize=(8,8))
g = sns.scatterplot(data=data_transform, x='PCA1', y='PCA2',\
                    palette=sns.color_palette()[:4], hue='Cluster')
title = plt.title('World countries clusters with PCA')

PCA

But when I run this code it does not seem to take into account this model.

europe_july['country'] = countries
europe_july['iso_alpha'] = iso_alpha


fig = px.choropleth(data_frame = europe_july,
                    locations= "iso_alpha",
                    scope= 'world',
                    title='2020-11-07 (World)',
                    color= "cluster",
                    hover_name= "country",
                    color_continuous_scale= 'earth',
                    )

fig.show()

Since this is the output that I get, as you can see there is clearly a cluster with only one country, when there is no such cluster predicted by the model.

vis

Could someone please guide on why my visualisation is wrong?