https://github.com/gandhasiri-rahul-mohan/principal-component-analysis

Perform Principal component analysis and perform clustering using first 3 principal component scores
https://github.com/gandhasiri-rahul-mohan/principal-component-analysis

agglomerative-clustering data-science dbscan-clustering heirarchical-clustering kmeans-clustering machine-learning pandas principal-component-analysis python

Last synced: 2 days ago
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Perform Principal component analysis and perform clustering using first 3 principal component scores

• Host: GitHub
• URL: https://github.com/gandhasiri-rahul-mohan/principal-component-analysis
• Owner: Gandhasiri-Rahul-Mohan
• Created: 2022-12-28T16:34:56.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2022-12-28T16:36:15.000Z (almost 2 years ago)
• Last Synced: 2023-08-16T19:50:57.142Z (over 1 year ago)
• Topics: agglomerative-clustering, data-science, dbscan-clustering, heirarchical-clustering, kmeans-clustering, machine-learning, pandas, principal-component-analysis, python
• Language: Python
• Homepage:
• Size: 7.81 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Principal-component-analysis

Perform Principal component analysis and perform clustering using first 

3 principal component scores (both heirarchial and k mean clustering(scree plot or elbow curve) and obtain 

optimum number of clusters and check whether we have obtained same number of clusters with the original data 

(class column we have ignored at the begining who shows it has 3 clusters)df