DenseBlocks is an unsupervised classification method for n-dimensional numerical data. It creates a multi-dimensional density representation of given training samples, defines clusters accordingly and returns this representation which can further be used to classify related data.

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Additional Project Details

Operating Systems

Windows

Intended Audience

Advanced End Users, Developers, Science/Research

User Interface

.NET/Mono

Programming Language

C#

Related Categories

C# Scientific Engineering, C# Information Analysis Software

Registered

2015-12-12