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Dimensionality Reduction
PCA Data manipulation Education Feature importance Preprocessing T-SNE High dimensions Machine learning Visualization Apache Spark
+2
  1. Workflow
    Semi Supervised Clustering
    T-SNE Clustering Dimensionality Reduction
    +3
    Visualize a table with t-SNE and cluster using k-means and hierarchical clustering.
    aaron_hart > Public > supervised-clustering
    2
    aaron_hart
  2. Workflow
    Kernel Principal Component Analysis
    KPCA Dimensionality reduction
    This workflow performs a kernel principal component analysis (PCA) on the given data, using the kernlab package of R
    mauuuuu5 > Public > KPCA
    1
    mauuuuu5
  3. Workflow
    Mixing Deep Learning with XGBoost
    Deep Learning Machine Learning XGBoost
    +11
    This workflow shows how to train an XGBoost based image classifier that uses a pretrained convolutional neural network to extract…
    christian.birkhold > Deep Learning with XGBoost > Mixing_DL_with_XGBoost
    1
    christian.birkhold
  4. Workflow
    Exploring categorical data via Correspondence Analysis
    CA Correspondence analysis Survey
    +2
    This workflow performs Correspondence Analysis and visualizes the results in a biplot. Correspondence Analysis is a technique to …
    maarit > Public > Articles > Exploring Categorical Data via Correspondence Analysis
    1
    maarit
  5. 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
  6. Workflow
    Dimensionality reduction
    High dimensions Dimensionality reduction Machine learning
    +1
    This workflow illustrates easy and common technique how to lower the high dimensional data by using simple method.
    barbora > Courses > L4-DV Codeless Data Exploration and Visualization_12.2020 > L4-DV Codeless Data Exploration and Visualization - Demos > Session_solutions > Session_03a_demo_dimensionality reduction
    0
    barbora
  7. Workflow
    Dimensionality reduction
    High dimensions Dimensionality reduction Machine learning
    +1
    This workflow illustrates easy and common technique how to lower the high dimensional data by using simple method.
    barbora > Courses > L4-DV Codeless Data Exploration and Visualization_12.2020 > L4-DV Codeless Data Exploration and Visualization - Exercises > solutions > 03a. DimensionalityReduction - solution
    0
    barbora
  8. Workflow
    Mixing_DL_with_XGBoost
    Deep Learning Machine Learning XGBoost
    +11
    This workflow shows how to train an XGBoost based image classifier that uses a pretrained convolutional neural network to extract…
    nemad > Public > Mixing_DL_with_XGBoost
    0
    nemad
  9. Workflow
    Sarcasm Detected with Machine Learning
    Redfield BERT Sarcasm
    +3
    In this workflow we are using BERT embeddings to detect sarcasm in texts. Other cases for embeddings are also considered: using P…
    redfield > Public > Sarcasm_detection_with_BERT_by_Redfield
    0
    redfield
  10. Workflow
    Dimensionality Reduction
    Dimensionality reduction Data manipulation Preprocessing
    +3
    Introduction to Machine Learning Algorithms course - Session 4 Solution to exercise 4 Apply the following dimensionality reductio…
    hayasaka > L4-ML-2Hrs-2021-07 > Solutions > 07_Dimensionality_Reduction_solution
    0
    hayasaka
  11. Workflow
    Dimensionality Reduction - exercise
    Dimensionality reduction Data manipulation Preprocessing
    +3
    Introduction to Machine Learning Algorithms course - Session 4 Exercise 4 Apply the following dimensionality reduction techniques…
    hayasaka > KNIME Spring Summit Training 2023 > L4-ML Introduction to Machine Learning Algorithms > Session_4 > 01_Exercises > 04_Dimensionality_Reduction_exercise
    0
    hayasaka
  12. Workflow
    Dimensionality Reduction - solution
    Dimensionality reduction Data manipulation Preprocessing
    +3
    Introduction to Machine Learning Algorithms course - Session 4 Solution to exercise 4 Apply the following dimensionality reductio…
    hayasaka > KNIME Spring Summit Training 2023 > L4-ML Introduction to Machine Learning Algorithms > Session_4 > 02_Solutions > 04_Dimensionality_Reduction_solution
    0
    hayasaka
  13. Workflow
    Dimensionality Reduction
    Dimensionality reduction Data manipulation Preprocessing
    +3
    Introduction to Machine Learning Algorithms course - Session 4 Exercise 4 Apply the following dimensionality reduction techniques…
    hayasaka > L4-ML-2Hrs-2021-07 > Exercises > 07_Dimensionality_Reduction
    0
    hayasaka
  14. Workflow
    Dimensionality Reduction - solution
    Dimensionality reduction Data manipulation Preprocessing
    +3
    Introduction to Machine Learning Algorithms course - Session 4 Solution to exercise 4 Apply the following dimensionality reductio…
    jiyeonee > Public > L4-ML Introduction to Machine Learning Algorithms > Session_4 > 02_Solutions > 04_Dimensionality_Reduction_solution
    0
    jiyeonee
  15. Workflow
    Dimensionality reduction
    High dimensions Dimensionality reduction Machine learning
    +1
    This workflow illustrates easy and common technique how to lower the high dimensional data by using simple method.
    barbora > Courses > L4-DV Codeless Data Exploration and Visualization_06.2021 > L4-DV Codeless Data Exploration and Visualization - Exercises > exercises > 03a. DimensionalityReduction
    0
    barbora
  16. Workflow
    Mixing Deep Learning with XGBoost
    Deep Learning Machine Learning XGBoost
    +11
    This workflow shows how to train an XGBoost based image classifier that uses a pretrained convolutional neural network to extract…
    lyudmila > Public > Mixing_DL_with_XGBoost
    0
    lyudmila
  17. Workflow
    Mixing Deep Learning with XGBoost
    Deep Learning Machine Learning XGBoost
    +11
    This workflow shows how to train an XGBoost based image classifier that uses a pretrained convolutional neural network to extract…
    yusupov > Public > Mixing_DL_with_XGBoost
    0
    yusupov
  18. Workflow
    Dimensionality reduction
    High dimensions Dimensionality reduction Machine learning
    +1
    This workflow illustrates easy and common technique how to lower the high dimensional data by using simple method.
    barbora > Courses > L4-DV Codeless Data Exploration and Visualization_06.2021 > L4-DV Codeless Data Exploration and Visualization - Demos > Demos empty > Session_03a_dimensionality reduction_empty
    0
    barbora
  19. 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
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    knime
  20. 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