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.

Project Samples

DenseBlocks 0.1.0 DenseBlocks 0.1.0 DenseBlocks 0.1.0 DenseBlocks 0.1.0

Project Activity

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Categories

Scientific/Engineering, Information Analysis

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Additional Project Details

Operating Systems

Windows

Intended Audience

Science/Research, Advanced End Users, Developers

User Interface

.NET/Mono

Programming Language

C#

Related Categories

C# Scientific Engineering, C# Information Analysis Software

Registered

2015-12-12
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