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5:37 AM
posted on July 29, 2018 by Alexander Gruber

We need a tag for topological data analysis. It is a rapidly growing field, so there will be more and more posts about it. Currently, questions about TDA come up under the tags algebraic-topology, homology-cohomology, data-analysis, category-theory, and a few more. These are insufficient for searchability as TDA is its own distinct topic that is not directly encompassed by any of these tags.

 
6:19 AM
I will add that from the tags mentioned in this post, on MathOverflow I only see (computational-topology).
BTW it is strange that Feeds posted this answer in a different format from others...?
 
 
5 hours later…
11:12 AM
In applied mathematics, topological data analysis (TDA) is an approach to the analysis of datasets using techniques from topology. Extraction of information from datasets that are high-dimensional, incomplete and noisy is generally challenging. TDA provides a general framework to analyze such data in a manner that is insensitive to the particular metric chosen and provides dimensionality reduction and robustness to noise. Beyond this, it inherits functoriality, a fundamental concept of modern mathematics, from its topological nature, which allows it to adapt to new mathematical tools. The initial...
 

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