Dynamic Quantum Mapping

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  • License: MIT License (MIT License)
  • Author: Zander Teller
  • Tags dimensionality reduction , visualization , animation , data science
  • Requires: Python >=3.10
  • Provides-Extra: viz , dev
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Project description

Dynamic Quantum Mapping (DQM) is a unique, open-source system designed for exploring and understanding the intrinsic structure of high-dimensional numerical data.

DQM works on any given data set, using the mathematical framework of quantum mechanics, by creating a high-dimensional data-density map and then moving data points toward nearby regions of higher data density.

No assumptions are made about the underlying structure of the data.

Visual and numerical analysis of the resulting animated ‘evolution’ of the data can reveal both clusters and extended structures, leading to a rich understanding of relationships between and within different subsets of the data.

Installation

Install DQM using pip:

$ pip install pydqm

For visualization support (recommended):

$ pip install pydqm[viz]

See the Installation Guide for more details.

Documentation (on Read the Docs)

Documentation Homepage

Getting Involved

Credits

  • Marvin Weinstein

  • David Horn

  • Bernard Chen

  • Zander Teller

DQM uses the Eigen library for linear-algebra subroutines.

License

MIT License

More Information

For more information, contact Zander Teller directly at zander@zanderteller.net.


Project details

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  • License: MIT License (MIT License)
  • Author: Zander Teller
  • Tags dimensionality reduction , visualization , animation , data science
  • Requires: Python >=3.10
  • Provides-Extra: viz , dev
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0.1.3

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