https://github.com/mongshil553/scikit-learn-clustering

Sleep Health and Lifestyle Clustering using Scikit-Learn
https://github.com/mongshil553/scikit-learn-clustering

clustering machine-learning scikit-learn-python

Last synced: 9 months ago
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Sleep Health and Lifestyle Clustering using Scikit-Learn

• Host: GitHub
• URL: https://github.com/mongshil553/scikit-learn-clustering
• Owner: mongshil553
• Created: 2024-07-18T15:20:51.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-07-25T03:06:11.000Z (over 1 year ago)
• Last Synced: 2025-01-13T14:18:54.601Z (10 months ago)
• Topics: clustering, machine-learning, scikit-learn-python
• Language: Python
• Homepage:
• Size: 3.14 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Sleep Health and Lifestyle Clustering using Scikit-Learn



Data

https://www.kaggle.com/datasets/informateur234/sleep-health-and-lifestyle-dataset




Data Distribution









After preprocessing, the data distribution are shown in the images above. Applied linear discriminant analysis(LAD) for each class to be seperated which will be helpful for the algorithm to learn. Oversampling for train set is used.




Clustering Models

Selected Models are the following; 



1. KMeans Clustering 


2. MeanShift Clustering 


3. Gaussian Mixture Clustering 


4. DBSCAN Clustering 




Clustering Result Before Hyper-Tuning







Clustering Result After Hyper-Tuning









Model Analysis

KMeans:





MeanShift:



Gaussian Mixture:



DBSCAN: