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k-Means Visualization

swethakannan profile image
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Dec 17, 2021 10:52 AM
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This component trains the data using k-Means clustering which is an unsupervised machine learning model and further performs dimension reduction to two features using PCA. This component consists of one configuration node- Integer Configuration Node which is a hypoparameter and takes in the value of the number of clusters required. In this project, we use datasets with at least two columns and of type Double with values between 0 and 1. For visualization, we see the color-coded data points on a Scatter Plot.

Component details

Input ports
  1. Type: Table

Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.0
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

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    KNIME JavaScript ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

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This component does not have nodes, extensions, nested components and related workflows

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