from Careful clustering of tSNE results high-dimensional mud pie
How high-dimensional is the central cluster? python
# PCA runs and cumulative contribution curves
pca = PCA()
pca.fit(matrix2)
# Calculation of Contribution Ratio and Cumulative Contribution Ratio
explained_variance_ratio = pca.explained_variance_ratio_
cumulative_explained_variance = np.cumsum(explained_variance_ratio)
# Plot the cumulative contribution curve
plt.figure(figsize=(8, 6))
plt.plot(range(1, len(cumulative_explained_variance) + 1), cumulative_explained_variance, marker='o')
plt.xlabel("Number of Components")
plt.ylabel("Cumulative Explained Variance")
plt.title("Cumulative Explained Variance by Number of PCA Components")
plt.grid(True)
plt.show()
- What kind of phenomenon is this?
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