Welcome to LabVIEW Machine Learning Toolkit

[duetcat]

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

[Vladiator]

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

[duetcat]

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.

[nilohdez1967]

Hi Qing:

Please recommend us the best introductory books about this subject.

Thanks.

nilohdez.

[duetcat]

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.

[nilohdez1967]

Kind regards and Thanks.

[joesze]

Can the Supervised learning VIs accept more than two classes? If so, how?

[duetcat]

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.

[joesze]

Thank you. That proved very helpful.

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

[duetcat]

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