beedu18 / data_mining

Implementing data mining algorithms from scratch

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data_mining

Implementing data mining algorithms from scratch

Environment

Python: 3.7.x

Dependencies

Matplotlib: 3.0.x

Algorithms

  • K-Means (Clustering)
  • K-Medoids (Clustering)
  • DBSCAN (Clustering)
  • Apriori (Association Rule Mininig)
  • Naive Bayesian Classifier (Classifiaction)

All of these are assorted in the Algos.py file

A test code comparing k-means and dbscan is written in the driver.py file

K-Means output

text1

DBSCAN output

text2

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Implementing data mining algorithms from scratch


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