https://github.com/jesussantana/unsupervised-classification

Practice and become familiar with clustering algorithms
https://github.com/jesussantana/unsupervised-classification

hierarchical-clustering kmeans-clustering pca-analysis unsupervised-classification unsupervised-clustering

Last synced: 4 months ago
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Practice and become familiar with clustering algorithms

• Host: GitHub
• URL: https://github.com/jesussantana/unsupervised-classification
• Owner: jesussantana
• License: mit
• Created: 2021-06-25T14:39:42.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-07-11T07:56:38.000Z (almost 4 years ago)
• Last Synced: 2025-01-11T12:33:31.911Z (5 months ago)
• Topics: hierarchical-clustering, kmeans-clustering, pca-analysis, unsupervised-classification, unsupervised-clustering
• Language: Jupyter Notebook
• Homepage:
• Size: 53.5 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# [IT Academy - Data Science with Python](https://www.barcelonactiva.cat/es/itacademy)

## [S15 T01: Unsupervised Classification](https://github.com/jesussantana/Unsupervised-Classification/blob/main/notebooks/S15_01_Unsupervised_Classification.ipynb)

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### Description

Let’s practice and become familiar with clustering algorithms.

### Level 1  

- Exercise 1: 

  - Classify the different flights using the K-means algorithm.

### Level 2

- Exercise 2: 

  - Classify the different flights using the hierarchical clustering algorithm.

### Level 3

- Exercise 3: 

  - Calculate clustering performance using a parameter such as silhouette.

### Targets

- Kmeans

- Hierarchical Clustering