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Principal Component Analysis
PCA Dimensionality reduction Scatter plot GIDS TheGuideBook T-SNE
  1. Workflow
    Dimensionality Reduction with PCA w/ correlations
    Scatter plot PCA Principal Component Analysis
    +1
    This workflow applies PCA dimensionality reduction to reduce the dataset dimensions from three to two features. Data points are t…
    rfeigel > Public > PCA w Correlations
    0
    rfeigel
  2. Workflow
    Dimensionality Reduction with PCA and t-SNE
    TheGuideBook Scatter plot PCA
    +4
    This workflow applyes two dimensionality reduction techniques: -PCA -t-SNE to reduce the dataset dimensions from three to two fea…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter4 > 02_PCA_t-SNE
    0
    knime