54 lines
1.1 KiB
TeX
54 lines
1.1 KiB
TeX
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\documentclass[margin=0.5cm]{standalone}
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\usepackage{tikz}
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\usepackage{pyluatex}
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\usepackage{pgf}
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\begin{document}
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\begin{python}
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# %%
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import io
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import numpy as np
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import matplotlib.pyplot as plt
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from sklearn.cluster import KMeans
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# %%
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data = """g1,10
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g2,12
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g3,9
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g4,15
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g5,17
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g6,18"""
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points =[int(row.split(",")[1]) for row in data.split("\n")]
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X = np.array([[point] for point in points])
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initial_means = [[10], [9]]
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points
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# %%
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kmeans_values = []
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for i in range(1,4):
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kmeans = KMeans(n_clusters=2, random_state=42, max_iter=i, init=initial_means, n_init=1)
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kmeans.fit(X)
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kmeans_values.append(kmeans.cluster_centers_)
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# %%
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fig, axs = plt.subplots(len(kmeans_values), 1, sharex=True)
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for i, centroids in enumerate(kmeans_values):
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ax = axs[i]
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ax.scatter(centroids, [i]*len(centroids), marker='x')
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ax.scatter(points, [i]*len(points), s=2, color="black")
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ax.axis('off')
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with io.StringIO() as file:
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fig.savefig(file, format="pgf", bbox_inches="tight", pad_inches=0.1)
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print(file.getvalue())
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\end{python}
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\begin{tikzpicture}
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\end{tikzpicture}
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\end{document}
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