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: 3 months 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 (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-12-28T04:21:41.000Z (over 2 years ago)
- Last Synced: 2025-01-14T06:52:31.657Z (5 months 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