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: 3 months 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 (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-12-28T16:36:15.000Z (over 2 years ago)
- Last Synced: 2025-01-14T06:52:07.341Z (4 months 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
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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