https://github.com/patilsukanya/assignment-07-clustering-q2-crime

Used libraries and functions as follows:
https://github.com/patilsukanya/assignment-07-clustering-q2-crime

clustering-algorithm dbscan eda groupby-method matplotlib-pyplot numpy pandas python scatter-plot sklearn standard-scaler

Last synced: 7 months ago
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Used libraries and functions as follows:

• Host: GitHub
• URL: https://github.com/patilsukanya/assignment-07-clustering-q2-crime
• Owner: PatilSukanya
• Created: 2022-09-21T13:53:16.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2022-09-21T14:04:09.000Z (about 3 years ago)
• Last Synced: 2025-02-23T13:38:08.030Z (8 months ago)
• Topics: clustering-algorithm, dbscan, eda, groupby-method, matplotlib-pyplot, numpy, pandas, python, scatter-plot, sklearn, standard-scaler
• Language: Jupyter Notebook
• Homepage:
• Size: 102 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Assignment-07-Clustering-Q2-Crime

## Hierarchical Clusteringe:

## K-Means Clustering:

## DBSCAN Clustering:

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 

UrbanPop - urban population in different places of United States

Rape - Rape rate in different places of United States