28 lines
690 B
Python
28 lines
690 B
Python
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import numpy as np
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import matplotlib.pyplot as plt
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from matplotlib.gridspec import GridSpec
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import utils
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import pca
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import pixel_spectra
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from sklearn.decomposition import PCA, FastICA
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size = 512
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# pca.pca(2, size, size, method="sparse", alpha=1000)
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# pca.pca(2, size, size, method="kernel", kernel='poly', scale=True)
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# pca.pca(2, size, size, method="ica", scale=False)
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# pca.pca_cluster(3, 4, size, size, scale=False, cluster_method="kmeans")
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sliders = pca.pca(2, size, size, scale=False, sliders=True)
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sliders = pca.pca(2, size, size, scale=False, sliders=True, selected=[17, 7])
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# kmeans.kmeans(8, 128, 128)
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# pixel_spectra.pixel_spectra(100)
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# slideshow.slideshow()
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plt.show()
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