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Clustering using Weka EM (Expectation Maximization) algorithm

Weka EMExpectation Maximization algorithmClustering
ashokharnal profile image
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Feb 26, 2022 12:08 AM
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The workflow clusters Maternal Heath Risk Data from Kaggle. Clustering is peformed by excluding target column (RiskLevel). After clusters are created, clusters are compared with actual risk levels in the target. If 'low risk' and 'mid risk' categories are merged, accuracy is 84.7%.

External resources

  • Maternal Health Risk Data
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Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.1
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.1

    knime
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    KNIME Interactive R Statistics IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
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    KNIME Statistics NodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
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    KNIME Weka Data Mining Integration (3.7)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime

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