pcurvepy
Principal curves implementation (Hastie '89) in Python
Example:
data = pd.read_csv('test_data.csv')
x = data.loc[:, ('X1', 'X2')].to_numpy()
# transform data to have zero mean
x = x - np.mean(x, 0)
index = np.arange(0, len(x))
p = pcurve.PrincipalCurve(k = 5)
p.fit(x)
plt.scatter(x[:, 0], x[:, 1], alpha = 0.25, c = index)
plt.plot(p.p[:, 0], p.p[:, 1], c = 'k')
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Metadata
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Release files for pcurvepy 0.0.10
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pcurvepy-0.0.10-py3-none-any.whl | Python 3 | none | any | Details |
Release files / pcurvepy-0.0.10-py3-none-any.whl
| Download URL | pcurvepy-0.0.10-py3-none-any.whl |
|---|---|
| Size | 13.7 kB |
| Tags | Python 3 |
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