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Unsupervised Learning - English

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Outline:
Unsupervised Learning

About unsupervised Learning and its types.
Load the iris data set and necessary packages.
About the applications of unsupervised learning.
Plot the data set to find the features that separate the data points clearly.
Perform k-means clustering on iris data set.
Tabulate the data.
Visualise the output in the console window.
About Adjusted RAND Index.
Measure the performance using Adjusted RAND Index.
Width:896 Height:656
Duration:00:10:07 Size:5.5 MB

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Pre-requisite

Supervised Learning

  Assignment

Code files

  • Unsupervised-Learning-Code Files/
  • Unsupervised-Learning-Code Files/Clustering.R
  • Unsupervised-Learning-Code Files/.Rhistory

Script

Slides

  • Unsupervised-Learning-Slides/
  • Unsupervised-Learning-Slides/Unsupervised_Learning.tex
  • Unsupervised-Learning-Slides/fossee-logo.png
  • Unsupervised-Learning-Slides/St-logo.png
  • Unsupervised-Learning-Slides/Unsupervised_Learning.pdf

  Additional reading material