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improve plot for agglomerative case #51

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improve plot for agglomerative case #51

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15 changes: 13 additions & 2 deletions Python3Code/crowdsignals_ch5.py
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Original file line number Diff line number Diff line change
Expand Up @@ -105,6 +105,8 @@ def main():

k_values = range(2, 10)
silhouette_values = []
k_datasets = []
k_ls = []

# Do some initial runs to determine the right number for the maximum number of clusters.

Expand All @@ -116,9 +118,18 @@ def main():
silhouette_score = dataset['silhouette'].mean()
print(f'silhouette = {silhouette_score}')
silhouette_values.append(silhouette_score)
if k == k_values[0]:
DataViz.plot_dendrogram(dataset, l)
k_datasets.append(dataset)
k_ls.append(l)


max_value = np.max(silhouette_values)
index_max = silhouette_values.index(max_value)

print('max score = ', max_value)
print('max k = ', k_values[index_max])

DataViz.plot_dendrogram(k_datasets[index_max], k_ls[index_max])

DataViz.plot_xy(x=[k_values], y=[silhouette_values], xlabel='k', ylabel='silhouette score',
ylim=[0, 1], line_styles=['b-'])

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