https://github.com/mahmoud-elghonemy/prediction-using-unsupervised-ml

from the given "iris" dataset predict the optimum number of clusters and represent it visually
https://github.com/mahmoud-elghonemy/prediction-using-unsupervised-ml

clustering elbow-method kmeans-clustering unsupervised-clustering unsupervised-machine-learning

Last synced: about 1 month ago
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from the given "iris" dataset predict the optimum number of clusters and represent it visually

• Host: GitHub
• URL: https://github.com/mahmoud-elghonemy/prediction-using-unsupervised-ml
• Owner: mahmoud-elghonemy
• Created: 2022-02-03T12:24:03.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-02-12T15:36:47.000Z (over 3 years ago)
• Last Synced: 2025-05-15T05:09:42.508Z (about 1 month ago)
• Topics: clustering, elbow-method, kmeans-clustering, unsupervised-clustering, unsupervised-machine-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 172 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Task 2 : Prediction-using-Unsupervised-ML

Task : From the given 'IRIS' dataset predict the optimal number of clusters and represents it visually 

Data set : https://bit.ly/3kXTdox

using to solve problem by two methods

**1-The Elbow Method**

**2-silhouette score**

# *Visualizing the cluster data by K-means*