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Fix 2D example mode labels
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README.md

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@@ -96,10 +96,10 @@ At billion-vector scale, the algorithm is only half the story. Memory movement i
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This is the practical difference between a paper result and a pipeline you can actually operate.
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### A 2D example using k-means, clostera, and clostera-fastest
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### A 2D example using k-means, clostera-quality, and clostera-fastest
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<p align="center">
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<img src="docs/assets/kmeans_vs_clostera_2d.png" alt="2D comparison of k-means, clostera, and clostera-fastest" width="100%">
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<img src="docs/assets/kmeans_vs_clostera_2d.png" alt="2D comparison of k-means, clostera-quality, and clostera-fastest" width="100%">
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</p>
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### Large-scale evaluation
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scripts/render_benchmark_assets.py

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@@ -857,7 +857,7 @@ def render_original_style_teaser(output_path: Path) -> None:
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axes[2].scatter(vectors[:, 0], vectors[:, 1], c="black", s=13, marker="D", linewidths=0.0, alpha=0.92)
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axes[2].scatter(fast_centers[:, 0], fast_centers[:, 1], c="red", s=78, edgecolors="white", linewidths=0.7)
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for axis, title in zip(axes, ["(a) k-means", "(b) clostera", "(c) clostera-fastest"]):
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for axis, title in zip(axes, ["(a) k-means", "(b) clostera-quality", "(c) clostera-fastest"]):
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axis.set_xlim(x_min, x_max)
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axis.set_ylim(y_min, y_max)
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axis.set_xticks([])

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