About: The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications even for commercial use. A comprehensive set of sample applications provide a fast start to get up and running quickly, and an extensive online documentation helps fill in the details.

For a complete list of changes, please see the full release notes at the release details page at:

https://github.com/accord-net/framework/releases/tag/v3.8.0

About: The apcluster package implements Frey's and Dueck's Affinity Propagation clustering in R. The package further provides leveraged affinity propagation, exemplar-based agglomerative clustering, and various tools for visual analysis of clustering results.

• changed dependency to suggested package 'kebabs' to version of at least 1.5.4 for improved interoperability
• bug fix in as.dendrogram() method with signature 'AggExResult'
• added discrepancy metric to distance computations and updated src/distanceL.c to new version
• registered C/C++ subroutines
• minor change in the vignette template
• moved NEWS to inst/NEWS
• added inst/COPYRIGHT

About: A collection of clustering algorithms implemented in Javascript.

Initial Announcement on mloss.org.