https://github.com/hawmex/aut_data_and_information_analysis_project

This repository contains the files of my project for the "Data & Information Analysis" course at AUT (Tehran Polytechnic).
https://github.com/hawmex/aut_data_and_information_analysis_project

data-analysis data-science k-means outlier-detection python

Last synced: 5 days ago
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This repository contains the files of my project for the "Data & Information Analysis" course at AUT (Tehran Polytechnic).

• Host: GitHub
• URL: https://github.com/hawmex/aut_data_and_information_analysis_project
• Owner: Hawmex
• License: mit
• Created: 2022-12-30T12:51:08.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-03-28T10:53:31.000Z (9 months ago)
• Last Synced: 2024-12-19T08:13:22.304Z (16 days ago)
• Topics: data-analysis, data-science, k-means, outlier-detection, python
• Language: Jupyter Notebook
• Homepage:
• Size: 13.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# AUT Data & Information Analysis Project

This repository contains the files of my project for the "Data & Information

Analysis" course at Amirkabir University of Technology (Tehran Polytechnic).

## Part 1

In this section, "min-max feature scaling" and "feature standardization" were

implemented.

## Part 2

In this section, an outlier detector was implemented that used the z-score

method to find outliers.

## Part 3

In this section, the k-means clustering algorithm was implemented using

functional programming patterns. The function returns the within-cluster sum of

squares and the labels for the clustered data.