Andromeda: Semantic Interaction for Dimension Reduction

Andromeda enables users to directly manipulate the data points in 2D plots of high-dimensional data to explore alternative dimension reduction projections. Andromeda implements interactive weighted multidimensional scaling (WMDS) with semantic interaction. Andromeda allows for both parametric and observation-level interaction to provide in-depth data exploration. A machine learning approach enables WMDS to learn from user manipulated projections.

Try Andromeda in Jupyter on GitHub and Binder. Make your own Andromeda modifications in this python Jupyter notebook.

Use our Andromeda Online software to analyze your data. User instructions are available.

See the Andromeda demo video here:

See our publications for more details:
Andromeda in Education
Andromeda for Exploratory Data Analysis
Designing Tools for Interactive Dimension Reduction

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