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Welcome to LabVIEW Machine Learning Toolkit

Description:

The Machine Learning Toolkit (MLT) provides various machine learning algorithms in LabVIEW. It is a powerful tool for problems such as visualization of high-dimensional data, pattern recognition, function regression and cluster identification.

Software Requirements:

  • Windows XP or later
  • LabVIEW 2009 or later

Please feel free to ask questions here.

Thanks,

Qing

Message 1 of 41
(26,633 Views)

Could you please post any documentation related to this toolkit? Thanks!

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Message 2 of 41
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Please download the user manual and examples from https://decibel.ni.com/content/docs/DOC-19328

For the detailed usage, please refer to the examples.

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Message 3 of 41
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Hi Qing:

Please recommend us the best introductory books about this subject.

Thanks.

nilohdez.

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Message 4 of 41
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There are several good books. For example, Pattern Recognition and Machine Learning (by Bishop) covers most of the topics in the toolkit. However, if you are only intrested in a specific algorithm, I would recommand you to check wikipedia first. We attached the links in the documentation.

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Message 5 of 41
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Kind regards and Thanks.

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Message 6 of 41
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Can the Supervised learning VIs accept more than two classes? If so, how?

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Message 7 of 41
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Yes. Please check the examples in the attachment:

https://decibel.ni.com/content/docs/DOC-19328

The example, Example_BP Network_Classification, shows how to work with more than two classes.

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Message 8 of 41
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Thank you. That proved very helpful.

Do you have, or know of, a LabVIEW implementation of Discriminant Function Analysis?

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Message 9 of 41
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There is an algorithm, Linear Discriminant Analysis, in the Dimension Reduction palette. Is that the one you are looking for?

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Message 10 of 41
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