Skip to content

fasrc/Matlab_computational_workflow

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Computational Workflow in Matlab for the Iris Dataset

We present a summary of steps to cluster the Iris. The dataset includes 150 data samples with 4 features. There are 3 types of flowers including:

  • Iris Setosa,
  • Iris Versicolour, and
  • Iris Virginica.

Setup Environment

We use Matlab to process the data. Succssful installation of Matlab on the system is required. Here are versions of the used Matlab and internal packages. You can also find the used versions of Matlab and internal packages at the end of cluster_iris.pdf file.

  • MATLAB Version: 9.12.0.1956245 (R2022a) Update 2
  • Operating System: macOS Version: 11.2 Build: 20D64
  • Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
  • MATLAB Version 9.12 (R2022a)
  • Statistics and Machine Learning Toolbox Version 12.3 (R2022a)

Run

  1. Open cluster_iris.mlx file.
  2. Click on Run button.

About

A computational pipeline in Matlab for clustering of the Iris dataset

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages