Comments on: ``Distance geometry and data science'' (Q2192023)

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Comments on: ``Distance geometry and data science''
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    Comments on: ``Distance geometry and data science'' (English)
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    26 June 2020
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    This comment paper provides a `user guide' by summarizing the main ideas of [\textit{L. Liberti}, Top 28, No. 2, 271--339 (2020; Zbl 07215401)], in the hope to attract more people to distance geometry. It states that the topic has `great potential in Data Science', but thereto also recommends the `new mathematical methods based on Algebraic Topology'.
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    Euclidean distance
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    isometric embedding
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    random projection
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    mathematical programming
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    machine learning
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    artificial neural networks
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