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www.ekran.org
| | www.markhw.com
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| | garrit.xyz
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| | Generalist software developer writing about scalable infrastructure, fullstack development and DevOps practices.
| | nurkiewicz.com
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| | K-means clustering is an algorithm for partitioning data into multiple, non-overlapping buckets. For example, if you have a bunch of points in two-dimensional space, this algorithm can easily find concentrated clusters of points. To be honest, that's quite a simple task for humans. Just plot all the points on a piece of paper and find areas with higher density. For example, most of the points are located on the top-left of the plane, some at the bottom and a few at the centre-right. However, this is not ...
| | www.kdnuggets.com
35.8 parsecs away

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| From the biological neuron to LLMs: How AI became smart.