Imagine a fox roaming through the woods in search for food. To survive, it needs to master pattern recognition. For instance, it must learn to avoid threats and identify safe-to-eat berries. But pattern detection is not just important for our furry friends: unsupervised learning allows machines to autonomously detect patterns in vast datasets without explicit guidance or labels. In scientific research, this technique proves invaluable in countless domains, for instance to group plant species based on their similarities such as shape, color, and size. As the computational power of modern computers grows faster, unsupervised learning is making an extraordinary impact in our everyday lives.

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