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pack up for release
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README.md

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- See the performance on generate dataset:
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`>_ python3.6 generatePoints.py`
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`>_ python3.6 plot.py`
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## 4. Performances
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- Dataset to be clustering:
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![generatedPoints](images/generatedPoints.png)
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- After clustering:
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![result](images/result.png)

generatePoints.py

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x = p[:, 0]
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y = p[:, 1]
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plt.plot(x, y, 'or', markersize=1, alpha=0.5, label='1')
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plt.plot(x, y, 'ok', markersize=1, alpha=0.5)
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# plt.show()
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x = s[:, 0]
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y = s[:, 1]
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plt.plot(x, y, 'ob', markersize=1, alpha=0.5, label='2')
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plt.plot(x, y, 'ok', markersize=1, alpha=0.5)
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x = q[:, 0]
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y = q[:, 1]
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plt.plot(x, y, 'oc', markersize=1, alpha=0.5, label='3')
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plt.legend()
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plt.plot(x, y, 'ok', markersize=1, alpha=0.5)
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# plt.legend()
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# plt.axis([-3, 10, -3, 9])
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plt.xlabel('x')
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plt.ylabel('y')

images/generatedPoints.png

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others/report.html

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report.pdf

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