在 Bill 和Pierre 案例上，推理是明显的，但在实验中，我们使用一些抽象的且彼此间没有直观联系的颜色形状，使得任务更具挑战性。

The inference seems obvious in Bill and Pierre’s case, but in the experiment, we used abstract colored shapes that have no intuitive relation to one another, making the task more challenging.

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Mean - Shift：无需任何关于集群数量的推理知识的算法，它可以生成任意形状的集群。

Mean-Shift: Algorithm that does not require any a priori knowledge about the number of clusters and can produce arbitrarily shaped clusters.

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研究人员推理表示，要想听的更准确，大脑必须熟悉自己耳朵的形状。

Researchers have theorized that the brain has to learn the shape of its own ears in order to hear correctly.

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