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A replica of WEKA for KMeans and Gaussian Mixture Algorithm ( a very basic one)

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Cluster

A tool for performing clustering operations on an unlabelled dataset. This tool can help in a variety of data mining tasks including downsizing training data so as to better fit a later downstream task like classification/Regression better and filtering out outlier data.

Algorithms inluded:

  • Affinity Propagation
  • DBSCAN
  • OPTICS
  • BIRCH
  • Spectral Clustering

To use this repo,first clone this repo and save it in any folder

git checkout backend

python app.py

Open localhost:5000 in your browser

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A replica of WEKA for KMeans and Gaussian Mixture Algorithm ( a very basic one)

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