Notebook on DBSCAN Clustering

PetalsOnWind / Statistics-and-Econometrics-for-Data-Science

This repository contains notebooks for understanding some concepts of statistics and econometrics that can be helpful in data science

MIT License

50 stars 92 forks source link

Notebook on DBSCAN Clustering #193

Open A-kriti opened 3 years ago

A-kriti commented 3 years ago

Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is a base algorithm for density-based clustering. It can discover clusters of different shapes and sizes from a large amount of data, which is containing noise and outliers. That is, it basically helps to reduce the outliers/noise from the larger data. Hence giving much more informative and clean data.

@PetalsOnWind / @rishabh-me please assign this issue to me!!!

aryasoni98 commented 2 years ago

Could I work on this? @PetalsOnWind

PetalsOnWind commented 2 years ago

@aryasoni98 Go ahead

aryasoni98 commented 2 years ago

@PetalsOnWind Please review my PR

aryasoni98 commented 2 years ago

@PetalsOnWind Please review my PR

Review my PR @PetalsOnWind