https://github.com/gandhasiri-rahul-mohan/clustering-q1-crime_data

Perform Clustering(Hierarchical, Kmeans & DBSCAN) for the crime data and identify the number of clusters formed and draw inferences.
https://github.com/gandhasiri-rahul-mohan/clustering-q1-crime_data

clustering data-science dbscan-clustering hierarchical-clustering kmeans-clustering machine-learning python

Last synced: 2 days ago
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Perform Clustering(Hierarchical, Kmeans & DBSCAN) for the crime data and identify the number of clusters formed and draw inferences.

• Host: GitHub
• URL: https://github.com/gandhasiri-rahul-mohan/clustering-q1-crime_data
• Owner: Gandhasiri-Rahul-Mohan
• Created: 2022-12-28T04:20:33.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2022-12-28T04:21:41.000Z (almost 2 years ago)
• Last Synced: 2023-08-16T19:50:54.075Z (over 1 year ago)
• Topics: clustering, data-science, dbscan-clustering, hierarchical-clustering, kmeans-clustering, machine-learning, python
• Language: Python
• Homepage:
• Size: 4.88 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Clustering-Q1-Crime_data

Perform Clustering(Hierarchical, Kmeans & DBSCAN) for the crime data and identify the number of clusters formed and draw inferences.

Data Description:

Murder -- Muder rates in different places of United States

Assualt- Assualt rate in different places of United States

UrbanPop - urban population in different places of United States

Rape - Rape rate in different places of United States