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  • JMP Security Notice: CVE-2026-109618 and CVE-2026-109619

    JMP promptly initiated a review of its products, services, and relevant infrastructure for exposure to CVE-2026-109618 and CVE-2026-109619.

    Our assessment of JMP products has not identified exposure to these vulnerabilities. Where remediation was required within supporting environments, appropriate security updates and controls have been applied and validated.

    We have identified no evidence of successful exploitation or unauthorized access to JMP systems or customer information associated with these vulnerabilities.

    JMP continues to monitor the issue and relevant vendor guidance. No action is required by JMP customers at this time.

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Metric Multidimensional Scaling

Status: Archived Submitted by on ‎03-20-2020 05:11 PM
1 Comment (1 New)

Within the multidimensional scaling platform (Multivariate--Multidimensional Scaling), can we have an option to do metric multidimensional scaling (MDS)?  While non-metric is generally the preferred option for social science data, it is iterative and time consuming for data with large sample size when you need a range of solutions (e.g., 2 dimensions - 6 dimensions).   Metric MDS is very quick in these situations and it is nice to get a quick view of the data in low dimension.  While an equivalent solution can be obtained using PCA via covariance matrix, other options in MDS platform like flipping axes, Waern links, etc. will be lost. 

 

Can we have this in JMP16?

1 Comment
Ryan_Gilmore
Community Manager Community Manager
Community Manager
‎10-26-2022 04:27 PM
‎10-26-2022 04:27 PM
Status changed to: Archived
We are archiving this request. If this is still important please comment with additional details and we will reopen. Thank you!