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MSBD5002 Data mining

Algorithm in class implemented in python. The algorithms' implementations are not strictly follow the correct input. It follows the representations in class.

List of algorithms

  • For pca reduction problem, go to this link
  • For dendrogram
    • agglomerative approach to draw dendrogram, go this this link
    • monothetic approach to draw, go to this link
  • For FP-growth and draw the fp tree, go to this link
  • For Dataware horse
    • If you want to calculate the materialized costs, go to this link
    • If the question asks you to use gready algorithm, go to this link
  • For neural network
    • If the question asks you to calculate nn value, go to this link
    • If the question asks about the lstm, go to this link
    • If the question asks about gru, go to this link
  • For page rank
    • If the question asks about converting graph to matrix, go to this link
    • If the question asks about using hits algorithm, go to this link
    • If the question asks about using page rank algorithm, go to this link
  • For outlier
    • If the question asks about lrd, or lof, go to this link
    • If the question asks about dbscan, go to this link
  • For Naivbayesian belief network
    • If the question asks about bayesian belief network, go to this link

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Algorithms in lecture implmented in python

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