Native JMP support for once-class SVM classifier or the SVDD implementation in SAS?

[#1]

Is it possible to do one class SVM classifiers for novelty detection natively in JMP? Something comparable to SAS SVDD (support vector data description) implementation. I have multivariate continuous data.

If not then are multivariate control charting techniques and outlier analysis tools sufficient for my purpose?

[#2]

For the first question, try starting here. For the second here. But regarding 'sufficiency' that's hard to say without more details.

[#3]

Hi the SVM tutorials provided do not even remotely discuss my inquiry that's why I'm clarifying if there is a way to make this work with the current capabilities of SVM in JMP.

The intended use is the special case of unary/one-class SVM classification or outlier/novelty detection for unsupervised multivariate continuous data <https://en.wikipedia.org/wiki/One-class_classification> but the linked material deals with multiclass problems (supervised) with a predictor as a required parameter.

Here is the SAS implementation for reference:

https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.2/casml/viyaml_svdd_overview.htm

The expected output could be a similar to outlier screening or a multivariate control chart.