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2022.2

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Reference Guides
Explore the Extended Definitions, OML Guides, Block Library, API Guide and Glossary.
Reference Guide for OpenMatrix Language Functions
The Reference Guide contains documentation for all functions supported in the OpenMatrix language.
Machine Learning Commands
K-Mode Clustering

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Start using Activate with our interactive tutorials.
User Guide
Learn about the features and functionality available in Activate.
Reference Guides
Explore the Extended Definitions, OML Guides, Block Library, API Guide and Glossary.
- Extended Definitions for Advanced Users
  PDF file with in-depth information on key topics in the User's Guide.
- Scripting Guide for OpenMatrix Language
  OpenMatrix is a mathematical scripting language.
- Reference Guide for OpenMatrix Language Functions
  The Reference Guide contains documentation for all functions supported in the OpenMatrix language.
  - ABF Commands
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  - Machine Learning Commands
    - Apriori
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    - K-Mode Clustering
      - kmodes_fit
        Returns a structure with all required k-modes fitted model parameters. These parameters are used for prediction.
      - kmodes_predict
        Returns a list of all predicted clusters for the dataset and model parameters provided.
    - Model Selection
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  - Python to OML Bridge Commands
- Block Reference Guide
  Describes all of the blocks in the installed Activate library.
- Function Guide for Activate
  Provides information about developing and simulating models through the Activate Application Program Interface.
- Glossary
  Key terms associated with the software.
Frequently Asked Questions
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2022.2

Home
...
- Reference Guide for OpenMatrix Language Functions
  The Reference Guide contains documentation for all functions supported in the OpenMatrix language.
- Reference Guides
  Explore the Extended Definitions, OML Guides, Block Library, API Guide and Glossary.
- Machine Learning Commands
K-Mode Clustering

What's New
Get Started
Tutorials
User Guide
Reference Guides
Frequently Asked Questions

ON THIS PAGE

K-Mode Clustering

Unsupervised machine learning to cluster categorical variables.

kmodes_fit
Returns a structure with all required k-modes fitted model parameters. These parameters are used for prediction.
kmodes_predict
Returns a list of all predicted clusters for the dataset and model parameters provided.

ON THIS PAGE

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