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by starchild_3001
2669 days ago
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I do a lot of clustering professionally, yet TDA feels very academic. Does finding locally connected components have practical value with "noisy" data sets'? If what you're after is locally connected components, why can't you use density clustering? Also my general feeling: If you have such weird shapes in R^n, maybe you should try to develop a better distance metric (vs finding connected components)? Just saying. |
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