Isomap

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import numpy as np
import matplotlib.pyplot as plt
import japanize_matplotlib
from sklearn.datasets import make_swiss_roll
from sklearn.manifold import Isomap

X, color = make_swiss_roll(n_samples=1500, noise=0.05, random_state=0)
iso = Isomap(n_neighbors=10, n_components=2)
emb = iso.fit_transform(X)

fig, axes = plt.subplots(1, 2, figsize=(12, 5))
axes[0].scatter(X[:, 0], X[:, 2], c=color, cmap="Spectral", s=5)
axes[0].set_title("Swiss roll 3 มิติ")
axes[1].scatter(emb[:, 0], emb[:, 1], c=color, cmap="Spectral", s=5)
axes[1].set_title("ผลฉายด้วย Isomap")
for ax in axes:
    ax.set_xticks([])
    ax.set_yticks([])
plt.tight_layout()
plt.show()