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Dimensionality Reduction
ETL
Accuracy Backward feature elimination Classification Feature selection GIDS LDA PCA TheGuideBook
  1. Workflow
    Techniques for Dimensionality Reduction
    ETL Big data Data preprocessing
    +11
    This workflow performs classification on data sets that were reduced using the following dimensionality reduction techniques: - L…
    knime > Examples > 04_Analytics > 01_Preprocessing > 02_Techniques_for_Dimensionality_Reduction > 02_Techniques_for_Dimensionality_Reduction
    1
    knime
  2. Workflow
    Backward Feature Elimination
    ETL Accuracy Classification
    +5
    This workflow shows the implementation of the backward feature elimination procedure via the Backward Feature Elimnation metanode…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter6 > 03_Backward_Feature_Elimination
    0
    knime
  3. Workflow
    Dimensionality Reduction & Outlier Detection
    TheGuideBook Outliers Outlier detection
    +6
    This workflow processes the adult dataset, containing people demographics, by eliminating columns with too many missing values or…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter6 > 01_Column_Row_Filtering
    0
    knime
  4. Workflow
    Techniques for Dimensionality Reduction
    ETL Big data Data preprocessing
    +11
    This workflow performs classification on data sets that were reduced using the following dimensionality reduction techniques: - L…
    dg-clarkston > Public > dimension_reduction_techniques
    0
    dg-clarkston
  5. Workflow
    Data Cleaning through a Web Interface
    Data cleaning Dimensionality reduction WebPortal
    +3
    This application will guide you through the process of eliminating data columns that are useless or even harmful to your analysis…
    sa0319 > Public > DataCleaning_WebPortal
    0
    sa0319
  6. Workflow
    Data Cleaning through a Web Interface
    Data cleaning Dimensionality reduction WebPortal
    +3
    This application will guide you through the process of eliminating data columns that are useless or even harmful to your analysis…
    knime > Examples > 50_Applications > 25_DataCleaning_WebPortal > DataCleaning_WebPortal
    0
    knime