Hub
Pricing About
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Community Hub
  • Search

12 results

Filter
Filter by tag
Dimensionality Reduction
PCA
Data manipulation Education Feature importance Preprocessing T-SNE ETL LDA Principal Component Analysis
  1. Go to item
    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. Go to item
    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
  3. Go to item
    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
  4. Go to item
    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
  5. Go to item
    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
  6. Go to item
    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
  7. Go to item
    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…
    jiyeonee > Public > L4-ML Introduction to Machine Learning Algorithms > Session_4 > 01_Exercises > 04_Dimensionality_Reduction
    0
    jiyeonee
  8. Go to item
    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
  9. Go to item
    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
  10. Go to item
    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
  11. Go to item
    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…
    knime > Education > Courses > L4-ML Introduction to Machine Learning Algorithms > Session_4 > 01_Exercises > 04_Dimensionality_Reduction_exercise
    0
    knime
  12. Go to item
    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…
    knime > Education > Courses > L4-ML Introduction to Machine Learning Algorithms > Session_4 > 02_Solutions > 04_Dimensionality_Reduction_solution
    0
    knime

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Business Hub
© 2023 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits