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UMAP visualization and generation

UMAP
vagr_isk profile image
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Sep 20, 2024 6:04 AM
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Description:

I haven’t seen many examples showcasing how to effectively represent dimensionality reduction analysis, like UMAP, using ECharts. Therefore, this project provides a clear demonstration of how to combine Python with UMAP to generate a dynamic, interactive view. You can configure and select the parameters needed to visualize the graph.

To get started:

  • Install UMAP in your local Python environment.

  • In the configuration view:

    • Configure the columns that will be used for UMAP calculations (these should be numerical columns).

    • Adjust the parameters via the configuration panel to fine-tune the visualization.

This workflow demonstrates how to blend Python and ECharts to create an explanatory and aesthetically appealing graph for dimensional reduction analysis using UMAP.

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Used extensions & nodes

Created with KNIME Analytics Platform version 5.3.2
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.2

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    KNIME Python IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.2

    knime
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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.2

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    KNIME ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.3.2

    knime

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