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CLUSTERING (dataset 1) #8

@TheExGenesis

Description

@TheExGenesis
  • KMeans varying the K

  • Plot sillouette and rank index

  • DBSCAN varying eps parameter with the chosen distance metric

  • DBSCAN, determine distance metric (minkowski, euclidean, manhattan, chebyshev) with a base case of DBSCAN (sklearn default?)

  • (Addressing statistical significance - p-val vs random data - might give points but oh well)

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