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Alan Turing and Self-organizing map

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Alan Turing and Self-organizing map

Alan Turing vs. Self-organizing map

Alan Mathison Turing (23 June 1912 – 7 June 1954) was an English computer scientist, mathematician, logician, cryptanalyst, philosopher, and theoretical biologist. A self-organizing map (SOM) or self-organizing feature map (SOFM) is a type of artificial neural network (ANN) that is trained using unsupervised learning to produce a low-dimensional (typically two-dimensional), discretized representation of the input space of the training samples, called a map, and is therefore a method to do dimensionality reduction.

Similarities between Alan Turing and Self-organizing map

Alan Turing and Self-organizing map have 1 thing in common (in Unionpedia): Morphogenesis.

Morphogenesis

Morphogenesis (from the Greek morphê shape and genesis creation, literally, "beginning of the shape") is the biological process that causes an organism to develop its shape.

Alan Turing and Morphogenesis · Morphogenesis and Self-organizing map · See more »

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Alan Turing and Self-organizing map Comparison

Alan Turing has 414 relations, while Self-organizing map has 54. As they have in common 1, the Jaccard index is 0.21% = 1 / (414 + 54).

References

This article shows the relationship between Alan Turing and Self-organizing map. To access each article from which the information was extracted, please visit:

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