Introduction to Classification

Files and code from Computational Statistics: Getting Started with Classification using MATLAB®
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Updated 1 Sep 2016

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This code is provides a simple introduction to some of the Classification capabilities in Statistics Toolbox. Key techniques used include
Using normplot to see whether features are normally distributed.
Using coercoff to look for correlation between features.
Using cvpartion to separate data into a test set and training set.
Training Naive Bayes classifiers and ensembles of decision trees.
Using sequentialfs to simplify a model

Cite As

Richard Willey (2024). Introduction to Classification (https://www.mathworks.com/matlabcentral/fileexchange/28770-introduction-to-classification), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2009a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired: Naive Bayes Classifier

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Version Published Release Notes
1.0.0.1

Updated license

1.0.0.0