t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections
https://doi.org/10.1109/TVCG.2020.2986996
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23 lines
544 B
23 lines
544 B
5 years ago
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# first line: 123
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def trustworthiness(D_high, D_low, k):
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n = D_high.shape[0]
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nn_orig = D_high.argsort()
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nn_proj = D_low.argsort()
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knn_orig = nn_orig[:, :k + 1][:, 1:]
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knn_proj = nn_proj[:, :k + 1][:, 1:]
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sum_i = 0
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for i in range(n):
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U = np.setdiff1d(knn_proj[i], knn_orig[i])
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sum_j = 0
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for j in range(U.shape[0]):
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sum_j += np.where(nn_orig[i] == U[j])[0] - k
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sum_i += sum_j
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return float((1 - (2 / (n * k * (2 * n - 3 * k - 1)) * sum_i)).squeeze())
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