drvq is a C++ library implementation of dimensionality-recursive vector quantization, a fast vector quantization method in high-dimensional Euclidean spaces under arbitrary data distributions.

It is an approximation of k-means that is practically constant in data size and applies to arbitrarily high dimensions but can only scale to a few thousands of centroids. As a by-product of training, a tree structure performs either exact or approximate quantization on trained centroids, the latter being not very precise but extremely fast.

A detailed README file describes the usage of the software, including license, requirements, installation, file formats, sample data, tools, and options. With the sample data provided and the default options, it is possible to test the code immediately as a demo.

DRVQ has a 2-clause BSD license. Please refer to the DRVQ software home page, the research project, or the original publication for more information. The latest code is available at github.

Project Activity

See All Activity >

License

BSD License

Follow drvq

drvq Web Site

Other Useful Business Software
Get Avast Free Antivirus with 24/7 AI-powered online scam detection Icon
Get Avast Free Antivirus with 24/7 AI-powered online scam detection

Get protection for today’s online threats. Free.

Award-winning antivirus protection, as well as protection against online scams, dangerous Wi-Fi connections, hacked accounts, and ransomware. It includes Avast Assistant, your built-in AI partner, which gives you help with suspicious online messages, offers, and more.
Free Download
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of drvq!

Additional Project Details

Operating Systems

Linux, BSD, Windows

Intended Audience

Science/Research, Developers, Engineering

User Interface

Command-line

Programming Language

C++

Related Categories

C++ Algorithms, C++ Machine Learning Software

Registered

2014-01-05